CN114664406A - Nasopharyngeal tumor intelligent treatment system based on intelligent interaction - Google Patents
Nasopharyngeal tumor intelligent treatment system based on intelligent interaction Download PDFInfo
- Publication number
- CN114664406A CN114664406A CN202210573128.1A CN202210573128A CN114664406A CN 114664406 A CN114664406 A CN 114664406A CN 202210573128 A CN202210573128 A CN 202210573128A CN 114664406 A CN114664406 A CN 114664406A
- Authority
- CN
- China
- Prior art keywords
- central control
- control module
- treatment
- patient
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
- G16H20/17—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Abstract
The invention relates to the technical field of medical equipment, in particular to an intelligent nasopharyngeal tumor treatment system based on intelligent interaction, which comprises: the model building module is used for converting the text description in the nuclear magnetic resonance report into a model; the data storage module is connected with the data processing module and is used for receiving and storing information and reports of patients and family members, and human body data and models are prestored in the database module; the information interaction module is connected with the data storage module, connected with the pharmacy control end and used for sending diagnosis and treatment opinions, informing a patient of rechecking and sending a next appointment notification when the rechecking cannot be carried out; the cloud platform is connected with the information interaction module and is used for receiving, storing and outputting feedback information of the patient; the display screen is connected with the data storage module and is used for displaying reports and information; and the central control module is arranged in the treatment system, is connected with each module and the display screen and controls the working process. The treatment efficiency of the system of the invention for different conditions is improved.
Description
Technical Field
The invention relates to the technical field of medical equipment, in particular to an intelligent nasopharyngeal tumor treatment system based on intelligent interaction.
Background
Nasopharyngeal carcinoma refers to malignant tumors occurring at the top and the side wall of a nasopharyngeal cavity, is one of high-incidence malignant tumors in China, has the first incidence rate of otorhinolaryngological malignant tumors, is a main treatment mode of nasopharyngeal carcinoma, has definite effect, can cure most of early nasopharyngeal carcinoma and locally advanced nasopharyngeal carcinoma, can be treated by regular follow-up and reexamination after treatment, can be used for treating patients with local recurrence at the early stage, and can be treated by adopting a mode of re-course radiotherapy or combination of internal medicine medicines by non-operatives.
Chinese patent publication No.: CN 201910013702.6. An automated adjuvant therapy system is disclosed; it follows that medical devices in the broad sense include medical instruments, home medical devices, and professional medical devices do not include home medical devices. It can be seen that they are closely related and also involved, and the subtle differences are not difficult to see. The maintenance, the installation and the equipment scrapping of large-scale medical equipment are one of the main tasks of equipment departments in hospitals, and are directly related to the safety of instrument use, the effectiveness of the examination and the detection of clinical medical equipment and the cooperation and the continuity of the medical work of the whole hospital. The basic point of development and design of the system is how the equipment department uses limited manpower, material resources and limited resources, and the normal utilization rate of the equipment is guaranteed in consideration of cost benefit. The invention relates to an automatic auxiliary treatment system. The invention reduces the manual operation link of the auxiliary treatment equipment. The automated adjuvant therapy system has the following problems: lack human-computer interaction, neglect the patient experience of seeing a doctor, the patient of being inconvenient in looks over the record of diagnosing.
Disclosure of Invention
Therefore, the invention provides an intelligent nasopharyngeal tumor treatment system based on intelligent interaction, which is used for solving the problem that targeted treatment cannot be carried out on specific conditions due to lack of human-computer interaction in the prior art.
In order to achieve the above object, the present invention provides an intelligent nasopharyngeal tumor treatment system based on intelligent interaction, which comprises,
the model construction module is used for converting the text description in the nuclear magnetic resonance report into a specific model;
the data storage module is used for receiving and storing information of patients and family members of the patients and nuclear magnetic resonance reports, and normal human body data and three-dimensional models corresponding to the data are prestored in the database module;
the information interaction module is connected with the pharmacy control end and used for sending diagnosis and treatment opinions, informing the patient according to the reexamination time of the patient and sending a next reexamination appointment notice to the patient when the patient cannot be reexamined on time;
the cloud platform is used for receiving, storing and outputting the feedback information of the patient, which is sent by the information interaction module and recorded in the cloud platform;
the display screen is respectively connected with the model building module and the information interaction module and is used for displaying reports and patient information;
a central control module which is arranged in the treatment system and is respectively connected with the model construction module, the information interaction module and the display screen for controlling the working process of the treatment system, the central control module judges whether the preset generation rate is adjusted to a corresponding value according to the actual tumor condition of the patient according to the model generation rate S of the model construction module, can detect the volume V of the tumor in the patient according to the generated three-dimensional model and selects a corresponding treatment method for the tumor according to the tumor volume V, and the central control module compares the model before treatment and the model after treatment when the patient is reexamined, calculates the ratio M between the reference point before treatment and the reference point after treatment before comparison, and judges whether the whole ratio of the model after treatment is amplified or reduced according to M so as to carry out unified assessment on the condition after treatment of the patient.
Further, the central control module is provided with a preset generation rate S0, when the patient completes the primary nuclear magnetic resonance examination, the data storage module stores the report content of the examination and transmits the content to the central control module so that the central control module analyzes the content, the central control module transmits the analyzed data to the model construction module after completing the analysis so that the model construction module generates a corresponding model before treatment, after the generation, the central control module extracts a feature point from the model as a reference point before treatment, and when the model construction module generates the model, the central control module records the model generation rate S of the model construction module and compares S with S0,
if S is larger than or equal to S0, the central control module judges that the generation speed meets the standard;
if S is less than S0, the central control module determines whether to readjust the preset generation rate criterion according to the actual size of the detected tumor S0.
Further, the central control module is provided with a first preset tumor size D1, a second preset tumor size D2, a first preset generation rate adjustment coefficient gamma 1 and a second preset generation rate adjustment coefficient gamma 2, wherein gamma 1 is more than 0.7 and less than 1.5 and less than gamma 2, when the central control module judges that the generation rate is too low, the preset initial generation rate is adjusted for the second time according to the tumor size D,
if D is less than D1, the central control module judges that the preset initial generation rate does not need to be adjusted;
if D1 is not less than D < D2, the central control module judges that the first preset generation rate adjustment coefficient gamma 1 is used for adjusting the preset initial generation rate;
if D is larger than or equal to D2, the central control module judges that the second preset generation rate adjusting coefficient gamma 2 is used for adjusting the preset initial generation rate;
when the central control module corrects the preset initial generation rate by using the ith preset generation rate adjustment coefficient γ i, i =1, 2 is set, and the adjusted generation rate is recorded as S0 ', and S0' = S0 × γ i is set.
Further, the central control module is provided with a first preset tumor boundary definition V1 and a second preset tumor boundary definition V2, the model construction module generates a three-dimensional pre-treatment model according to the character description of the nuclear magnetic resonance report when receiving the nuclear magnetic resonance report transmitted by the central control module, the central control module detects the tumor boundary definition in the pre-treatment model and judges the treatment method aiming at the tumor according to the tumor boundary definition V,
if V is less than or equal to V1, the central control module controls the information interaction module to output medical drug treatment suggestions and closely monitor the change of illness state;
if V is more than V1 and less than or equal to V2, the central control module controls the information interaction module to output a surgical treatment suggestion;
if V is greater than V2, the central control module judges and controls the information interaction module to output a radiotherapy joint internal medicine treatment suggestion;
when the central control module controls the information interaction module to output corresponding information, the information interaction module outputs treatment suggestions to the display screen.
Further, when the central control module judges that the patient needs medical treatment, the display screen outputs data to determine whether to handle hospitalization procedures, and if the patient agrees to the hospitalization, the patient is handled on the same day and is informed to carry out intravenous treatment; if the patient does not agree with the hospitalization, the central control module gives a notice to the attending physician and informs the patient to take the medicine orally when the attending physician determines that the patient can be discharged for the hospitalization or determines that the patient can delay the hospitalization time and change the hospitalization time.
Further, when the central control module outputs a medical drug treatment suggestion and the patient accepts the suggestion, the information interaction module sends the name of the drug required to be used by the patient to a pharmacy and sends a drug taking notice to the pharmacy, and when the central control module controls the information interaction module to output the medical drug treatment suggestion and closely monitor the change of the illness state, the central control module pops up a dialog box to prompt the input of the contact way of the patient; when the central control module controls the information interaction module to output a surgical suggestion, the central control module pops up a dialog box to prompt the input of the contact information of the patient and a family member; when the central control module judges and controls the information interaction module to output the radiotherapy joint internal medicine treatment suggestion, the central control module pops up a dialog box to prompt the input of the contact information of the patient and the two family members.
Further, the central control module is provided with a preset waiting time T0, when the patient finishes treatment, the central control module preliminarily determines the review time according to the condition of the patient after treatment and outputs the preliminarily determined review time to the display screen through the data interaction module to inform the patient, and the central control module informs the patient of the review time of a specific time point in the form of a mobile phone short message one day before the review, and if the review time does not reach the patient, whether to continue waiting is determined according to the waiting time T,
if T is less than or equal to T0, the central control module judges that no adjustment is needed;
if T is more than T0, the central control module judges that waiting time is overtime, and the data processing unit informs the telephone of other times; when the central control module controls the information interaction module to output medical drug treatment suggestions and closely monitor the change of the illness state, the central control module judges that the contact way of the patient is dialed to be improved; when the central control module controls the information interaction module to output a surgery suggestion, the central control module judges to dial the contact way between the patient and a family member for improvement; when the central control module judges and controls the information interaction module to output the radiotherapy combined internal medicine treatment suggestion, the central control module judges and dials the contact way of the patient and two family members to be improved.
Further, the central control module is provided with a first preset reference point proportion M1, a second preset reference point proportion M2, a first preset reference point proportion correction coefficient beta 1 and a second preset reference point proportion correction coefficient beta 2, wherein M1 is more than M2, beta 1 is more than 0.5 and less than 1 and less than beta 2, when the patient is in a double-examination, the data storage module stores a magnetic resonance image which is re-shot by the patient and sends the magnetic resonance image to the central control module, the central control module sends the image to the model construction module to enable the model construction module to establish a post-treatment model, the central control module compares a pre-treatment model and a post-treatment model which are generated according to a pre-treatment nuclear magnetic resonance report and retrieves a characteristic point which is the same as the pre-treatment reference point from the post-treatment model before comparison as a post-treatment reference point, and during comparison, the central control module calculates a proportion M of the size between the pre-treatment reference point and the post-treatment reference point and determines whether to further determine whether to the overall proportion of the post-treatment model according to M Line zoom in or out, setting M = a/b, where a is the size of the pre-treatment fiducial and b is the size of the post-treatment fiducial
If M is less than M1, the central control module judges that the size proportion of the model after treatment is corrected by using a first preset reference point proportion correction coefficient beta 1;
if M is not less than M1 and not more than M2, the central control module judges that the size ratio of the model before treatment and the model after treatment meets the standard and does not modify the size ratio of the model after treatment;
if M is larger than M2, the central control module judges that the size proportion of the model after treatment is corrected by using a second preset reference point proportion correction coefficient beta 2;
when the central control module corrects the size ratio of the model after treatment by using a preset reference point ratio correction coefficient beta i, i =1, 2 is set, the adjusted size ratio of the model after treatment is recorded as B ', and B' = B × beta i is set, wherein B is the initial size ratio of the model after treatment.
Further, after the patient is subjected to the double-consultation, the central control module automatically starts a recording function, records feedback opinions of the patient in each doctor watching process, and converts the recorded feedback opinions into characters to be uploaded to a cloud platform for subsequent reference.
Further, the central control module is provided with a preset first physical condition score L1, a preset second physical condition score L2, a preset third physical condition score L3, a preset review period T0, a first preset review period adjustment coefficient lambda 1 and a second preset review period adjustment coefficient lambda 2, wherein lambda 1 is more than 0.5 and less than 1 and less than lambda 2, and after the patient finishes the treatment, the central control module evaluates the post-treatment condition of the patient in the form of questionnaire survey and calculation integral and records the evaluated integral as L,
if L is less than L1, the central control module judges that the patient needs to shorten the review period and adjusts the review period T by using a first preset review period adjustment coefficient lambda 1;
if L1 is not less than L < L2, the central control module judges that the recovery condition of the patient is good and does not adjust the subsequent review period;
if L2 is not less than L < L3, the central control module judges that the patient needs to prolong the review period and adjusts the review period T by using a second preset review period adjustment coefficient lambda 2;
if L is more than L3, the central control module judges that the patient is cured and does not need to carry out follow-up review;
when the central control module uses a preset review period adjusting coefficient lambda i to adjust the review period, i =1, 2 is set, the adjusted review period is recorded as T ', T' = T × lambda i is set, wherein T is an initial review period.
Compared with the prior art, the system has the advantages that through the arrangement of the model building module and the data interaction module, three-dimensional modeling can be performed according to the actual situation of the patient, and the treatment mode with the highest treatment efficiency for the patient is determined according to the model.
Further, the central control module is provided with a preset generation rate S0, when the patient completes the primary nuclear magnetic resonance examination, the data storage module stores the report content of the examination and transmits the content to the central control module so that the central control module analyzes the content, the central control module transmits the analyzed data to the model construction module after completing the analysis so that the model construction module generates a corresponding model before treatment, after completing the generation, the central control module extracts a feature point from the model as a reference point before treatment, and during the process of generating the model by the model construction module, the central control module records the model generation rate S of the model construction module and compares the S with the S0, so that the system is more flexible and efficient by adjusting the generation rate.
Furthermore, the central control module is provided with a first preset tumor size, a second preset tumor size, a first preset generation rate regulating coefficient and a second preset generation rate regulating coefficient, and when the central control module judges that the generation rate is too low, the preset initial generation rate is regulated for the second time according to the tumor size, so that the treatment efficiency of the system for diseases under different conditions is effectively improved.
Further, the central control module is provided with a first preset tumor boundary definition V1 and a second preset tumor boundary definition V2, the model construction module generates a three-dimensional pre-treatment model according to the character description of the nuclear magnetic resonance report when receiving the nuclear magnetic resonance report transmitted by the central control module, the central control module detects the tumor boundary definition in the pre-treatment model and judges the treatment method for the tumor according to the tumor boundary definition V, and the treatment experience of the patient is improved.
Further, when the central control module outputs a medical drug treatment suggestion and the patient accepts the suggestion, the information interaction module sends the name of the drug required to be used by the patient to a pharmacy and sends a drug taking notice to the pharmacy, and when the central control module controls the information interaction module to output the medical drug treatment suggestion and closely monitor the change of the illness state, the central control module pops up a dialog box to prompt the input of the contact way of the patient; when the central control module controls the information interaction module to output a surgical suggestion, the central control module pops up a dialog box to prompt the input of the contact information of the patient and a family member; when the central control module judges and controls the information interaction module to output the radiotherapy joint internal medicine drug treatment suggestion, the central control module pops up a dialog box to prompt the input of the contact information of the patient and two family members, so that the efficiency of the whole process is improved, the diagnosis and treatment efficiency is improved, and the medical risk is reduced.
Further, the central control module is provided with a preset waiting time length T0, when the patient finishes treatment, the central control module preliminarily determines the review time according to the condition of the patient after treatment and outputs the preliminarily determined review time to the display screen through the data interaction module so as to inform the patient, the central control module informs the patient of the review time of a specific time point in the form of a mobile phone short message one day before the review, and if the review time is not reached, whether the patient continues waiting is judged according to the waiting time length T, so that the operation of a worker is facilitated, and the management efficiency of the system is improved.
Further, the central control module is provided with a first preset reference point proportion, a second preset reference point proportion, a first preset reference point proportion correction coefficient and a second preset reference point proportion correction coefficient, when a patient is in a double-examination, the data storage module stores a nuclear magnetic resonance image re-shot by the patient and sends the nuclear magnetic resonance image to the central control module, the central control module transmits the image to the model construction module so that the model construction module establishes a post-treatment model, the central control module compares a pre-treatment model generated according to a pre-treatment nuclear magnetic resonance report with the post-treatment model and retrieves a characteristic point which is the same as the pre-treatment reference point from the post-treatment model before comparison as a post-treatment reference point, and during comparison, the central control module calculates a proportion M of the size between the pre-treatment reference point and the post-treatment reference point and judges whether to amplify or reduce the overall proportion of the post-treatment model according to M, the system is convenient for the operation of workers and improves the management efficiency of the system.
Furthermore, the central control module is provided with a preset first physical condition score, a preset second physical condition score, a preset third physical condition score, a preset review period, a first preset review period adjusting coefficient and a second preset review period adjusting coefficient, and after the patient finishes treatment, the central control module evaluates the post-treatment condition of the patient in a questionnaire survey and integral calculation mode and records the evaluated integral as L.
Drawings
Fig. 1 is a structural block diagram of an intelligent nasopharyngeal tumor treatment system based on intelligent interaction according to the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, it is a block diagram of an intelligent nasopharyngeal tumor treatment system based on intelligent interaction according to the present invention, which comprises,
the model construction module is used for converting the text description in the nuclear magnetic resonance report into a specific model;
the data storage module is used for receiving and storing information of patients and family members of the patients and nuclear magnetic resonance reports, and normal human body data and three-dimensional models corresponding to the data are prestored in the database module;
the information interaction module is connected with the pharmacy control end and used for sending diagnosis and treatment opinions, informing the patient according to the reexamination time of the patient and sending a next reexamination appointment notice to the patient when the patient cannot be reexamined on time;
the cloud platform is used for receiving, storing and outputting the feedback information of the patient, which is sent by the information interaction module and recorded in the cloud platform;
the display screen is respectively connected with the model building module and the information interaction module and is used for displaying reports and patient information;
a central control module which is arranged in the treatment system and is respectively connected with the model construction module, the information interaction module and the display screen for controlling the working process of the treatment system, the central control module judges whether the preset generation rate is adjusted to a corresponding value according to the actual tumor condition of the patient according to the model generation rate S of the model construction module, can detect the volume V of the tumor in the patient according to the generated three-dimensional model and selects a corresponding treatment method for the tumor according to the tumor volume V, and the central control module compares the model before treatment and the model after treatment when the patient is reexamined, calculates the ratio M between the reference point before treatment and the reference point after treatment before comparison, and judges whether the whole ratio of the model after treatment is amplified or reduced according to M so as to carry out unified assessment on the condition after treatment of the patient.
Specifically, the central control module is provided with a preset generation rate S0, when a patient completes a primary nuclear magnetic resonance examination, the data storage module stores the report content of the examination and transmits the content to the central control module so that the central control module analyzes the content, the central control module transmits the analyzed data to the model construction module after completing the analysis so that the model construction module generates a corresponding model before treatment, after the generation is completed, the central control module extracts a feature point from the model as a reference point before treatment, and when the model construction module generates the model, the central control module records the model generation rate S of the model construction module and compares S with S0,
if S is larger than or equal to S0, the central control module judges that the generation speed meets the standard;
if S is less than S0, the central control module determines whether to readjust the preset generation rate criterion according to the actual size of the detected tumor S0.
Specifically, the central control module is provided with a first preset tumor size D1, a second preset tumor size D2, a first preset generation rate regulating coefficient gamma 1 and a second preset generation rate regulating coefficient gamma 2, wherein gamma 1 is more than 0.7 and less than 1.5 and less than gamma 2, when the central control module judges that the generation rate is too low, the preset initial generation rate is secondarily regulated according to the tumor size D,
if D is less than D1, the central control module judges that the preset initial generation rate does not need to be adjusted;
if D1 is not less than D < D2, the central control module judges that the first preset generation rate adjustment coefficient gamma 1 is used for adjusting the preset initial generation rate;
if D is larger than or equal to D2, the central control module judges that the second preset generation rate adjusting coefficient gamma 2 is used for adjusting the preset initial generation rate;
when the central control module corrects the preset initial generation rate by using the ith preset generation rate adjustment coefficient γ i, i =1, 2 is set, and the adjusted generation rate is recorded as S0 ', and S0' = S0 × γ i is set.
Specifically, the central control module is provided with a first preset tumor boundary definition V1 and a second preset tumor boundary definition V2, the model construction module generates a three-dimensional pre-treatment model according to the character description of the nuclear magnetic resonance report when receiving the nuclear magnetic resonance report transmitted by the central control module, the central control module detects the tumor boundary definition in the pre-treatment model and judges the treatment method aiming at the tumor according to the tumor boundary definition V,
if V is less than or equal to V1, the central control module controls the information interaction module to output medical drug treatment suggestions and closely monitor the change of illness state;
if V is more than V1 and less than or equal to V2, the central control module controls the information interaction module to output a surgical treatment suggestion;
if V is greater than V2, the central control module judges and controls the information interaction module to output a radiotherapy joint internal medicine drug treatment suggestion;
when the central control module controls the information interaction module to output corresponding information, the information interaction module outputs treatment suggestions to the display screen.
Specifically, when the central control module judges that the patient needs medical drug treatment, the display screen outputs data to determine whether to handle hospitalization procedures, and if the patient agrees to the hospitalization, the patient is handled on the same day and is informed to carry out intravenous drug treatment; if the patient does not agree with the hospitalization, the central control module gives a notice to the attending physician and informs the patient to take medicines orally when the attending physician determines that the patient can be discharged for treatment or determines that the patient can delay the hospitalization time and change the hospitalization time.
Specifically, when the central control module outputs a medical drug treatment suggestion and the patient accepts the suggestion, the information interaction module sends the name of the drug required to be used by the patient to a pharmacy and sends a drug taking notice to the pharmacy, and when the central control module controls the information interaction module to output the medical drug treatment suggestion and closely monitor the change of the disease condition, the central control module pops up a dialog box to prompt the input of the contact way of the patient; when the central control module controls the information interaction module to output a surgical suggestion, the central control module pops up a dialog box to prompt the input of the contact information of the patient and a family member; and when the central control module judges and controls the information interaction module to output radiotherapy combined internal medicine treatment, the central control module pops up a dialog box to prompt the input of the contact information of the patient and the two family members.
Specifically, the central control module is provided with a preset waiting time T0, when the patient finishes treatment, the central control module preliminarily determines the review time according to the condition of the patient after treatment and outputs the preliminarily determined review time to the display screen through the data interaction module to inform the patient, and the central control module informs the patient of the review time of a specific time point in the form of a mobile phone short message one day before the review, and if the review time does not reach the patient, whether to continue waiting is determined according to the waiting time T,
if T is less than or equal to T0, the central control module judges that no adjustment is needed;
if T is more than T0, the central control module judges that waiting time is overtime, and the data processing unit informs the telephone of other times; when the central control module controls the information interaction module to output medical drug treatment suggestions and closely monitor the change of the illness state, the central control module judges that the contact way of the patient is dialed to be improved; when the central control module controls the information interaction module to output a surgical suggestion, the central control module judges to dial a contact way between the patient and a family member for improvement; when the central control module judges and controls the information interaction module to output radiotherapy combined internal medicine treatment, the central control module judges and dials the contact way of the patient and two family members to be improved.
Specifically, the central control module is provided with a first preset reference point proportion M1, a second preset reference point proportion M2, a first preset reference point proportion correction coefficient beta 1 and a second preset reference point proportion correction coefficient beta 2, wherein M1 is more than M2, and beta 1 is more than 0.5 and less than 1 and less than beta 2, when a patient is in a double-examination, the data storage module stores a magnetic resonance image which is re-shot by the patient and sends the magnetic resonance image to the central control module, the central control module transmits the image to the model construction module so that the model construction module establishes a post-treatment model, the central control module compares a pre-treatment model and a post-treatment model which are generated according to a pre-treatment nuclear magnetic resonance report and retrieves a feature point which is the same as the pre-treatment reference point from the post-treatment model before comparison as a post-treatment reference point, and during comparison, the central control module calculates a size proportion M between the pre-treatment reference point and the post-treatment reference point and determines whether to carry out the whole proportion M of the post-treatment model or not according to the whole proportion M Line zoom in or out, setting M = a/b, where a is the size of the pre-treatment fiducial, b is the size of the post-treatment fiducial,
if M is less than M1, the central control module judges that the size proportion of the model after treatment is corrected by using a first preset reference point proportion correction coefficient beta 1;
if M is not less than M1 and not more than M2, the central control module judges that the size ratio of the model before treatment and the model after treatment meets the standard and does not modify the size ratio of the model after treatment;
if M is larger than M2, the central control module judges that the size proportion of the model after treatment is corrected by using a second preset reference point proportion correction coefficient beta 2;
when the central control module corrects the size ratio of the model after treatment by using a preset reference point ratio correction coefficient beta i, i =1, 2 is set, the adjusted size ratio of the model after treatment is recorded as B ', and B' = B × beta i is set, wherein B is the initial size ratio of the model after treatment.
Specifically, after the patient is subjected to the double-diagnosis, the central control module automatically starts a recording function, records feedback opinions of the patient in each doctor watching process, and converts the recorded feedback opinions into characters to be uploaded to a cloud platform for subsequent reference.
Specifically, the central control module is provided with a preset first physical condition score L1, a preset second physical condition score L2, a preset third physical condition score L3, a preset review period T0, a first preset review period adjusting coefficient lambda 1 and a second preset review period adjusting coefficient lambda 2, wherein lambda 1 is more than 0.5 and less than 1 and less than lambda 2, and after the patient finishes the treatment, the central control module evaluates the post-treatment condition of the patient in the form of questionnaire survey and calculation integral and records the evaluated integral as L,
if L is less than L1, the central control module judges that the patient needs to shorten the review period and adjusts the review period T by using a first preset review period adjustment coefficient lambda 1;
if L1 is not less than L < L2, the central control module judges that the recovery condition of the patient is good and does not adjust the subsequent review period;
if L2 is not less than L < L3, the central control module judges that the patient needs to prolong the review period and adjusts the review period T by using a second preset review period adjustment coefficient lambda 2;
if L is more than L3, the central control module judges that the patient is cured and does not need to carry out follow-up review;
when the central control module uses a preset review period adjusting coefficient lambda i to adjust the review period, i =1, 2 is set, the adjusted review period is recorded as T ', T' = T × lambda i is set, wherein T is an initial review period.
Specifically, after the patient is subjected to the double-diagnosis, the central control module automatically starts a recording function, records feedback opinions of the patient in each doctor watching process, and converts the recorded feedback opinions into characters to be uploaded to a cloud platform for subsequent reference.
Particularly, the display screen top is equipped with the camera for shoot patient's facial information and upload identity information, treatment record to the cloud platform and save.
The judgment logic of the system is more in line with the diagnosis and treatment thinking of doctors, the basic level doctors are recommended and prompted for risks in all links of diagnosis and treatment, the system has the characteristics of real time, dynamic property and easiness in use, and the core function can improve the diagnosis and treatment efficiency and reduce the medical risks under the condition that the normal diagnosis and treatment of the doctors are not disturbed. The patient is willing to choose the expert of the higher-level hospital to see a doctor, mainly because the doctor has rich knowledge reserve, the intelligent nasopharyngeal tumor treatment system based on intelligent interaction has the advantage of quickly establishing a professional and authoritative medical knowledge system, can help the primary doctor to quickly and conveniently inquire various information including diseases, medicines, examinations and the like in the system, and the knowledge is integrated into the diagnosis and treatment process of the doctor, so that the professional ability of the doctor in the diagnosis and treatment process is quickly improved.
The intelligent nasopharyngeal tumor treating system based on intelligent interaction is the product of modern instrument technology and computer. Because the nasopharyngeal tumor intelligent treatment system based on intelligent interaction utilizes the capabilities of data processing, transmission and release, the system becomes flexible and simple, software replaces some hardware in the traditional instrument, the cost of the instrument is reduced, and the precision, speed and repeatability of the instrument are greatly improved.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is apparent to those skilled in the art that the scope of the present invention is not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An intelligent treatment system for nasopharyngeal tumors based on intelligent interaction is characterized by comprising,
the model construction module is used for converting the text description in the nuclear magnetic resonance report into a specific model;
the data storage module is used for receiving and storing information of patients and family members of the patients and nuclear magnetic resonance reports, and normal human body data and three-dimensional models corresponding to the data are prestored in the database module;
the information interaction module is connected with the pharmacy control end and used for sending diagnosis and treatment opinions, informing the patient according to the reexamination time of the patient and sending a next reexamination appointment notice to the patient when the patient cannot be reexamined on time;
the cloud platform is used for receiving, storing and outputting the feedback information of the patient, which is sent by the information interaction module and recorded in the cloud platform;
the display screen is respectively connected with the model building module and the information interaction module and is used for displaying reports and patient information;
a central control module which is arranged in the treatment system and is respectively connected with the model construction module, the information interaction module and the display screen for controlling the working process of the treatment system, the central control module judges whether the preset generation rate is adjusted to a corresponding value according to the actual tumor condition of the patient according to the model generation rate S of the model construction module, can detect the volume V of the tumor in the patient according to the generated three-dimensional model and selects a corresponding treatment method for the tumor according to the tumor volume V, and the central control module compares the model before treatment and the model after treatment when the patient is reexamined, calculates the ratio M between the reference point before treatment and the reference point after treatment before comparison, and judges whether the whole ratio of the model after treatment is amplified or reduced according to M so as to carry out unified assessment on the condition after treatment of the patient.
2. The intelligent interaction-based nasopharyngeal tumor treatment system according to claim 1, wherein said central control module has a preset generation rate S0, when the patient completes the primary nuclear magnetic resonance examination, said data storage module stores the report content of the examination and transmits the content to said central control module to make the central control module analyze the content, after the central control module completes the analysis, the data after the analysis is transmitted to said model construction module to make the model construction module generate the corresponding model before treatment, after the generation, the central control module extracts a feature point from the model as the reference point before treatment, during the generation of the model by said model construction module, said central control module records the model generation rate S of the model construction module and compares S with S0,
if S is larger than or equal to S0, the central control module judges that the generation speed meets the standard;
if S is less than S0, the central control module determines whether to readjust the preset generation rate criterion according to the actual size of the detected tumor S0.
3. The intelligent interaction-based nasopharyngeal tumor treatment system according to claim 2, wherein said central control module has a first preset tumor size D1, a second preset tumor size D2, a first preset generation rate adjustment factor γ 1, and a second preset generation rate adjustment factor γ 2, wherein 0.7 < γ 1 < 1.5 < γ 2, and when said central control module determines that the generation rate is too low, the preset initial generation rate is adjusted twice according to the tumor size D,
if D is less than D1, the central control module judges that the preset initial generation rate does not need to be adjusted;
if D1 is not less than D < D2, the central control module judges that the first preset generation rate adjustment coefficient gamma 1 is used for adjusting the preset initial generation rate;
if D is larger than or equal to D2, the central control module judges that the second preset generation rate adjusting coefficient gamma 2 is used for adjusting the preset initial generation rate;
when the central control module corrects the preset initial generation rate by using the i-th preset generation rate adjustment coefficient γ i, i =1, 2 is set, and the adjusted generation rate is recorded as S0 ', S0' = S0 × γ i is set.
4. The intelligent interaction-based nasopharyngeal tumor treatment system according to claim 3, wherein said central control module has a first preset tumor boundary definition V1 and a second preset tumor boundary definition V2, said model construction module generates a three-dimensional pre-treatment model according to the written description of the NMR report when receiving the NMR report transmitted by said central control module, said central control module detects the tumor boundary definition in the pre-treatment model and determines the treatment method for the tumor according to the tumor boundary definition V,
if V is less than or equal to V1, the central control module controls the information interaction module to output medical drug treatment suggestions and closely monitor the change of illness state;
if V is more than V1 and less than or equal to V2, the central control module controls the information interaction module to output a surgical treatment suggestion;
if V is greater than V2, the central control module judges and controls the information interaction module to output a radiotherapy joint internal medicine drug treatment suggestion;
when the central control module controls the information interaction module to output corresponding information, the information interaction module outputs treatment suggestions to the display screen.
5. The intelligent interaction-based nasopharyngeal carcinoma intelligent treatment system according to claim 4, wherein when said central control module determines that the patient needs medical medication, said display screen outputs data whether to handle hospitalization, if the patient agrees to hospitalization, the patient is handled the same day and is informed of intravenous medication; if the patient does not agree with the hospitalization, the central control module gives a notice to the attending physician and informs the patient to take the medicine orally when the attending physician determines that the patient can be discharged for the hospitalization or determines that the patient can delay the hospitalization time and change the hospitalization time.
6. The intelligent nasopharynx tumor treatment system based on intelligent interaction as claimed in claim 5, wherein when the central control module outputs a medical drug treatment recommendation and the patient accepts the recommendation, the information interaction module sends the name of the drug required to be used by the patient to the pharmacy and sends a drug taking notice to the pharmacy, and when the central control module controls the information interaction module to output the medical drug treatment recommendation and closely monitor the change of the disease condition, the central control module pops up a dialog box to prompt the input of the contact way of the patient; when the central control module controls the information interaction module to output a surgical suggestion, the central control module pops up a dialog box to prompt the input of the contact information of the patient and a family member; when the central control module judges and controls the information interaction module to output the radiotherapy joint internal medicine treatment suggestion, the central control module pops up a dialog box to prompt the input of the contact information of the patient and the two family members.
7. The intelligent nasopharynx tumor treatment system based on intelligent interaction as claimed in claim 3, wherein the central control module is provided with a preset waiting time period T0, the central control module preliminarily determines a review time according to the situation after the patient is treated when the patient finishes the treatment and outputs the preliminarily determined review time to the display screen through the information interaction module to inform the patient and the central control module informs the patient of the review time of a specific time point in the form of a mobile phone short message one day before the review, and the review time determines whether to continue waiting according to the waiting time period T if the patient does not arrive,
if T is less than or equal to T0, the central control module judges that no adjustment is needed;
if T is more than T0, the central control module judges that waiting time is overtime, and the data processing unit informs the telephone of other times; when the central control module controls the information interaction module to output medical drug treatment suggestions and closely monitor the change of the illness state, the central control module judges that the contact way of the patient is dialed to be improved; when the central control module controls the information interaction module to output a surgery suggestion, the central control module judges to dial the contact way between the patient and a family member for improvement; when the central control module judges and controls the information interaction module to output the radiotherapy combined drug treatment suggestion, the central control module judges and dials the contact way of the patient and two family members to be improved.
8. The intelligent interaction-based nasopharyngeal tumor treatment system according to claim 6, wherein said central control module has a first predetermined reference point ratio M1, a second predetermined reference point ratio M2, a first predetermined reference point ratio correction coefficient β 1 and a second predetermined reference point ratio correction coefficient β 2, wherein M1 < M2,0.5 < β 1 < β 2, when the patient is in a double visit, said data storage module stores the re-captured NMR image of the patient and sends it to said central control module, said central control module sends it to said model construction module to make the model construction module construct a post-treatment model, said central control module compares the pre-treatment model generated from the pre-treatment NMR report with the post-treatment model and retrieves the same characteristic point as said pre-treatment reference point from the post-treatment model as the post-treatment reference point before the comparison, during comparison, the central control module calculates the ratio M of the size between the pre-treatment reference point and the post-treatment reference point and judges whether to enlarge or reduce the overall ratio of the post-treatment model according to M, and M = a/b is set, wherein a is the size of the pre-treatment reference point, b is the size of the post-treatment reference point,
if M is less than M1, the central control module judges that the size proportion of the model after treatment is corrected by using a first preset reference point proportion correction coefficient beta 1;
if M is not less than M1 and not more than M2, the central control module judges that the size ratio of the model before treatment and the model after treatment meets the standard and does not modify the size ratio of the model after treatment;
if M is larger than M2, the central control module judges that the size proportion of the model after treatment is corrected by using a second preset reference point proportion correction coefficient beta 2;
when the central control module corrects the dimensional proportion of the post-treatment model by using the preset reference point proportion correction coefficient β i, i =1, 2 is set, the adjusted dimensional proportion of the post-treatment model is recorded as B ', and B' = B × β i is set, wherein B is the initial dimensional proportion of the post-treatment model.
9. The intelligent interaction-based nasopharyngeal carcinoma intelligent treatment system according to claim 7, wherein after the patient's return visit is completed, said central control module automatically starts a recording function, records the feedback opinions of the patient in each visit procedure, and converts the recorded feedback opinions into text to be uploaded to the cloud platform for subsequent reference.
10. The intelligent interaction-based nasopharyngeal carcinoma intelligent treatment system according to claim 9, wherein said central control module is provided with a preset first body condition score L1, a preset second body condition score L2, a preset third body condition score L3, a preset review period T0, a first preset review period adjustment factor λ 1 and a second preset review period adjustment factor λ 2, wherein λ 1 < 0.5 < λ 2 < 1 < λ 2, and when the patient is treated, said central control module evaluates the post-treatment condition of the patient in the form of questionnaire and calculation score and records the evaluated score as L,
if L is less than L1, the central control module judges that the patient needs to shorten the review period and adjusts the review period T by using a first preset review period adjustment coefficient lambda 1;
if L1 is not less than L < L2, the central control module judges that the recovery condition of the patient is good and does not adjust the subsequent review period;
if L2 is not less than L < L3, the central control module judges that the patient needs to prolong the review period and adjusts the review period T by using a second preset review period adjustment coefficient lambda 2;
if L is more than L3, the central control module judges that the patient is cured and does not need to carry out follow-up review;
when the central control module uses a preset review period adjusting coefficient lambda i to adjust the review period, i =1, 2 is set, the adjusted review period is recorded as T ', T' = T × lambda i is set, wherein T is an initial review period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210573128.1A CN114664406B (en) | 2022-05-25 | 2022-05-25 | Intelligent nasopharyngeal tumor treatment system based on intelligent interaction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210573128.1A CN114664406B (en) | 2022-05-25 | 2022-05-25 | Intelligent nasopharyngeal tumor treatment system based on intelligent interaction |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114664406A true CN114664406A (en) | 2022-06-24 |
| CN114664406B CN114664406B (en) | 2022-09-20 |
Family
ID=82038180
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210573128.1A Active CN114664406B (en) | 2022-05-25 | 2022-05-25 | Intelligent nasopharyngeal tumor treatment system based on intelligent interaction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114664406B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881568A (en) * | 2015-04-27 | 2015-09-02 | 苏州敏宇医疗科技有限公司 | Cloud computation based early oncotherapy efficacy evaluation system and method |
| US20160220208A1 (en) * | 2013-09-09 | 2016-08-04 | Dana-Farber Cancer Institute, Inc. | Methods of assessing tumor growth |
| WO2016179310A1 (en) * | 2015-05-04 | 2016-11-10 | Smith Andrew Dennis | Computer-assisted tumor response assessment and evaluation of the vascular tumor burden |
| CN111341406A (en) * | 2020-02-17 | 2020-06-26 | 西安医疗指南者信息技术服务有限公司 | Diagnosis and treatment information processing method, device, equipment and storage medium for tumor diseases |
| US20210249132A1 (en) * | 2018-07-24 | 2021-08-12 | Protocol Intelligence, Inc. | Methods and systems for treating cancer and predicting and optimizing treatment outcomes in individual cancer patients |
| WO2021257980A1 (en) * | 2020-06-18 | 2021-12-23 | H. Lee Moffitt Cancer Center And Research Institute, Inc. | Systems and methods for assessing patient-specific evolution of resistance to therapy and progression of disease |
| CN113921133A (en) * | 2021-11-19 | 2022-01-11 | 深圳市联影高端医疗装备创新研究院 | Recommendation method and device for lung cancer treatment scheme, computer equipment and storage medium |
-
2022
- 2022-05-25 CN CN202210573128.1A patent/CN114664406B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160220208A1 (en) * | 2013-09-09 | 2016-08-04 | Dana-Farber Cancer Institute, Inc. | Methods of assessing tumor growth |
| CN104881568A (en) * | 2015-04-27 | 2015-09-02 | 苏州敏宇医疗科技有限公司 | Cloud computation based early oncotherapy efficacy evaluation system and method |
| WO2016179310A1 (en) * | 2015-05-04 | 2016-11-10 | Smith Andrew Dennis | Computer-assisted tumor response assessment and evaluation of the vascular tumor burden |
| US20210249132A1 (en) * | 2018-07-24 | 2021-08-12 | Protocol Intelligence, Inc. | Methods and systems for treating cancer and predicting and optimizing treatment outcomes in individual cancer patients |
| CN111341406A (en) * | 2020-02-17 | 2020-06-26 | 西安医疗指南者信息技术服务有限公司 | Diagnosis and treatment information processing method, device, equipment and storage medium for tumor diseases |
| WO2021257980A1 (en) * | 2020-06-18 | 2021-12-23 | H. Lee Moffitt Cancer Center And Research Institute, Inc. | Systems and methods for assessing patient-specific evolution of resistance to therapy and progression of disease |
| CN113921133A (en) * | 2021-11-19 | 2022-01-11 | 深圳市联影高端医疗装备创新研究院 | Recommendation method and device for lung cancer treatment scheme, computer equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 张亮等: "胃肠肿瘤外科手术疗法的治疗观察", 《临床医药文献电子杂志》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114664406B (en) | 2022-09-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20220230738A1 (en) | Real-time analysis of comprehensive cost of all instrumentation used in surgery utilizing data fluidity to track instruments through stocking and in-house processes | |
| EP3506270B1 (en) | Communication of data where a surgical network is using context of the data and requirements of a receiving system / user to influence inclusion or linkage of data and metadata to establish continuity | |
| US11633102B2 (en) | Apparatus and method for providing improved health care | |
| CN1871609A (en) | Processing device and display system | |
| US20030176774A1 (en) | Remote monitoring and control of sedation and analgesia systems | |
| JP2004528643A (en) | Method and system for detecting differences in a tracking environment | |
| CN1871611A (en) | Modular medical care system | |
| CN1871610A (en) | Healthcare processing device and display system | |
| US20050200486A1 (en) | Patient visual monitoring system | |
| US20210059616A1 (en) | Systems and methods for graphical user interfaces for medical device trends | |
| CN104408329A (en) | Electronic clinical nursing path management system and method | |
| US20170193181A1 (en) | Remote patient monitoring system | |
| EP2422695A2 (en) | Monitoring patients receiving care | |
| US20140278524A1 (en) | Associating patients and medical devices with a mobile device via bluetooth | |
| CN110384501A (en) | Pulmonary function monitoring system | |
| WO2016097982A1 (en) | Mobile healthcare hub | |
| CN114342000A (en) | System and method for supervising graphical user interface of application | |
| US20190371456A1 (en) | Operating room status and predictive scheduling | |
| CN111833976A (en) | Chronic arthritis patient follow-up management system based on block chain | |
| CN106096317A (en) | A kind of preoperative anesthesia is made a house call system | |
| CN101083697A (en) | Mobile medical salvation digital information system and its working method | |
| CN114341999A (en) | System and method for graphical user interface for medical device trending | |
| CN114664406B (en) | Intelligent nasopharyngeal tumor treatment system based on intelligent interaction | |
| US9962485B2 (en) | Automatically disassociating medical devices from patients | |
| CN115485004A (en) | System and method for remote control of life-critical medical devices |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |