CN117275705A - Diagnostic method and system based on ultrasonic image intellectualization - Google Patents
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Abstract
The application relates to a diagnostic method and a diagnostic system based on ultrasonic image intellectualization, wherein a terminal system is used for comparing and analyzing a B-ultrasonic image with historical B-ultrasonic information in a database, and comparing and outputting a corresponding diagnostic result based on a preset diagnostic standard; extracting ultrasonic data of the B ultrasonic image, continuously acquiring the ultrasonic data of the B ultrasonic image, and generating a corresponding dynamic ultrasonic trend chart according to a time sequence; and carrying out intelligent decision according to the diagnosis result, and matching and outputting the nursing measures corresponding to the diagnosis result from the nursing measures preset in the database. Can help diagnosis in real time, can avoid missed diagnosis or incorrect diagnosis, help clinical decision, is more convenient and efficient, and lays a foundation for the development of severe ultrasound. Deep tissue conditions can be probed by using ultrasound, the deep tissue conditions can be accurately known, and intervention can be performed. Provides the medical staff with treatment and nursing measures, improves the ability to correctly treat the problem, li Hui patients.
Description
Technical Field
The disclosure relates to the technical field of intelligent ultrasonic inspection, in particular to an ultrasonic image-based intelligent diagnosis method and system and electronic equipment.
Background
The ultrasonic technology has the characteristics of non-invasiveness, dynamics, real-time and repeatability. The severe ultrasound can be applied to the establishment of vascular access, thrombus screening, muscle evaluation, skin evaluation, gastrointestinal tract function evaluation and the like of severe patients.
However, in the ultrasonic examination, the following clinical examination defects still exist:
firstly, a professional B-ultrasonic doctor often cannot come to a monitoring room to evaluate a patient in time, but the disease condition of a severe patient is fast in development, and if a severe medical staff cannot perform B-ultrasonic examination in time, the disease condition problem of the severe patient cannot be found in time.
Secondly, clinical medical staff gradually participate in B ultrasonic examination at present, and serious medical staff utilize B ultrasonic to evaluate and diagnose uneven problem ability, and clinical medical staff has the difference to the processing ability of different problems because of annual cost and experience difference. For example: the skin problems of severe patients are easy to occur, when the surface is covered by black scab and the like, the skin problems are often covered, the deep tissue injury is suspected, and the accurate intervention of the severe patients cannot be performed by adopting the traditional clinical examination of severe disease conditions.
Therefore, for severe illness, missed diagnosis or incorrect diagnosis easily occurs clinically, so that the severe examination efficiency and accuracy are greatly reduced.
Disclosure of Invention
In order to solve the problems, the application provides an ultrasonic image-based intelligent diagnosis method and system and electronic equipment.
In one aspect of the application, an ultrasonic image-based intelligent diagnosis method is provided, which comprises the following steps:
b ultrasonic images of severe patients are obtained and stored;
uploading the B ultrasonic image to a terminal system, wherein the terminal system is used for:
(1) Comparing and analyzing the B-ultrasonic image with historical B-ultrasonic information in a database, and comparing and outputting a corresponding diagnosis result based on a preset diagnosis standard;
(2) Extracting ultrasonic data of the B ultrasonic image, continuously acquiring the ultrasonic data of the B ultrasonic image, and generating a corresponding dynamic ultrasonic trend chart according to a time sequence;
(3) And carrying out intelligent decision according to the diagnosis result, and matching and outputting the nursing measures corresponding to the diagnosis result from the nursing measures preset in the database.
As an optional implementation manner of the present application, optionally, comparing the B-mode image with the historical B-mode information in the database, and outputting the corresponding diagnosis result based on the preset diagnosis standard, which includes:
identifying the focus image type in the B ultrasonic image;
searching a historical image corresponding to the focus image type from the database, and comparing and analyzing the B ultrasonic image and the historical image;
based on a preset image diagnosis standard, outputting an image diagnosis result corresponding to the focus, and sending and displaying the image diagnosis result at the front end of the terminal system to assist the diagnosis of clinical medical staff.
As an optional implementation manner of the present application, optionally, comparing and analyzing the B-mode ultrasonic image with the historical B-mode ultrasonic information in the database, and comparing and outputting a corresponding diagnosis result based on a preset diagnosis standard, and further including:
identifying ultrasonic data attributes of the B ultrasonic image;
retrieving ultrasonic historical data corresponding to the ultrasonic data attribute from the database, and comparing and analyzing the ultrasonic real-time data of the B ultrasonic image with the ultrasonic historical data;
based on a preset ultrasonic diagnosis standard, outputting an ultrasonic data diagnosis result corresponding to the focus, and sending and displaying the ultrasonic data diagnosis result at the front end of the terminal system to assist the diagnosis of clinical medical staff.
As an optional embodiment of the present application, optionally, extracting the ultrasound data of the B-ultrasound image, continuously obtaining the ultrasound data of the B-ultrasound image, and generating a corresponding dynamic ultrasound trend graph according to a time sequence, including:
reading the ultrasonic data of the B ultrasonic image in real time, and storing the ultrasonic data according to a time sequence;
constructing a dynamic ultrasonic trend chart of the ultrasonic data according to the corresponding dynamic relation between the time sequence and the ultrasonic data;
and sending and displaying the dynamic ultrasonic trend graph at the front end of the terminal system to assist clinical medical staff in carrying out clinical evaluation on the focus in real time.
As an optional embodiment of the present application, optionally, before making the intelligent decision according to the diagnosis result, the method further comprises:
presetting nursing measures corresponding to different types/attributes according to the types/attributes of the focus contrast images/data;
the care measures are saved in the database.
As an optional embodiment of the present application, optionally, making an intelligent decision according to the diagnosis result, matching and outputting a care measure corresponding to the diagnosis result from preset care measures in the database, including:
reading the diagnosis result, and judging whether preset focus contrast images/data exist in the diagnosis result or not:
if yes, popping up a warning frame, and matching and outputting nursing measures corresponding to the focus contrast image/data from the preset nursing measures in the database according to the type/attribute of the focus contrast image/data;
and sending and displaying the nursing measures on the front end of the terminal system.
In another aspect of the present application, a system for implementing the diagnostic method based on ultrasound image intellectualization is provided, including:
the B-ultrasonic probe is used for acquiring the B-ultrasonic image of the severe patient and storing the B-ultrasonic image on the B-ultrasonic host;
the B-ultrasonic host is used for uploading the B-ultrasonic image to the terminal system;
a terminal system for:
(1) Comparing and analyzing the B-ultrasonic image with historical B-ultrasonic information in a database, and comparing and outputting a corresponding diagnosis result based on a preset diagnosis standard;
(2) Extracting ultrasonic data of the B ultrasonic image, continuously acquiring the ultrasonic data of the B ultrasonic image, and generating a corresponding dynamic ultrasonic trend chart according to a time sequence;
(3) And carrying out intelligent decision according to the diagnosis result, and matching and outputting the nursing measures corresponding to the diagnosis result from the nursing measures preset in the database.
In another aspect of the present application, an electronic device is further provided, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the diagnostic method and system based on ultrasound image intelligence when executing the executable instructions.
The invention has the technical effects that:
the scheme can compare and analyze the B-ultrasonic image with the historical B-ultrasonic information in the database through the terminal system, and compare and output corresponding diagnosis results based on preset diagnosis standards; extracting ultrasonic data of the B ultrasonic image, continuously acquiring the ultrasonic data of the B ultrasonic image, and generating a corresponding dynamic ultrasonic trend chart according to a time sequence; and carrying out intelligent decision according to the diagnosis result, and matching and outputting the nursing measures corresponding to the diagnosis result from the nursing measures preset in the database. Therefore, diagnosis can be assisted in real time, missed diagnosis or incorrect diagnosis can be avoided, clinical decision is assisted, convenience and high efficiency are realized, and a foundation is laid for the development of severe ultrasound. Deep tissue conditions can be probed by using ultrasound, the deep tissue conditions can be accurately known, and intervention can be performed. Provides the medical staff with treatment and nursing measures, improves the ability to correctly treat the problem, li Hui patients.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic illustration of an application route of the present invention;
FIG. 2 shows a schematic flow chart of the implementation of the method of the present invention;
FIG. 3 is a schematic diagram illustrating the composition of an application of the system of the present invention;
fig. 4 shows a schematic application diagram of the electronic device of the invention.
Detailed Description
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, well known means, elements, and circuits have not been described in detail so as not to obscure the present disclosure.
Example 1
As shown in fig. 1, the main idea of the scheme is to utilize a B-ultrasonic machine (mainly comprising a B-ultrasonic probe and a B-ultrasonic host) to carry out B-ultrasonic on a severe patient, send B-ultrasonic images to a terminal system in real time through the B-ultrasonic machine, carry out image identification and comparison on the B-ultrasonic images by an image identification and processing system on the terminal system, and carry out comparison analysis on extracted B-ultrasonic data, thereby realizing the functions of 'assisting diagnosis, intelligent decision making and data (ultrasonic) processing', further obtaining the focus development condition of the severe patient, finally carrying out auxiliary diagnosis according to the diagnosis result, carrying out intelligent decision making, and outputting corresponding nursing measures, thereby assisting medical staff in carrying out clinical nursing on the severe patient, and avoiding obvious differences in the processing capacities of different problems due to different annual materials and experience and uneven diagnosis problem capacities of the medical staff.
As shown in fig. 2, in one aspect, the present application proposes an ultrasound image-based intelligent diagnosis method, which includes the following steps:
s1, acquiring and storing a B ultrasonic image of a severe patient;
s2, uploading the B ultrasonic image to a terminal system, wherein the terminal system is used for:
(1) Comparing and analyzing the B-ultrasonic image with historical B-ultrasonic information in a database, and comparing and outputting a corresponding diagnosis result based on a preset diagnosis standard;
(2) Extracting ultrasonic data of the B ultrasonic image, continuously acquiring the ultrasonic data of the B ultrasonic image, and generating a corresponding dynamic ultrasonic trend chart according to a time sequence;
(3) And carrying out intelligent decision according to the diagnosis result, and matching and outputting the nursing measures corresponding to the diagnosis result from the nursing measures preset in the database.
Specifically, the B-ultrasonic probe can be widely applied to the evaluation, diagnosis and treatment of severe patients, and can automatically pick up and store images when in B-ultrasonic screening, and the images are automatically uploaded to a terminal system for analysis, wherein a large database is arranged in the terminal system to cover images, data and the like.
When the B-ultrasonic examination is given to the patient, the system can automatically analyze and compare the B-ultrasonic real-time image with the database image and data to assist diagnosis. The more images and data in the database, the more accurate. Diagnostic criteria can be set in the system, and images and data can be processed to give diagnostic results.
The system can process the images and the data information to obtain the trend graph, and visually obtain the dynamic change.
The terminal can make intelligent decisions according to the diagnosis results and provide nursing measure suggestions.
As an optional implementation manner of the present application, optionally, comparing the B-mode image with the historical B-mode information in the database, and outputting the corresponding diagnosis result based on the preset diagnosis standard, which includes:
identifying the focus image type in the B ultrasonic image;
searching a historical image corresponding to the focus image type from the database, and comparing and analyzing the B ultrasonic image and the historical image;
based on a preset image diagnosis standard, outputting an image diagnosis result corresponding to the focus, and sending and displaying the image diagnosis result at the front end of the terminal system to assist the diagnosis of clinical medical staff.
In the scheme, the method for processing the B-ultrasonic image and extracting and identifying the ultrasonic data on the image can adopt the existing method for processing the data and the image of the B-ultrasonic image.
Can extract the B ultrasonic data of severe patients on the B ultrasonic image. For the image identification of a certain part or a certain focus, the corresponding image identification mark and the extraction of the ultrasonic data of the corresponding focus part can be completed by a background medical staff.
The diagnostic criteria for the ultrasound abnormal image may be set by the healthcare worker.
In the scheme, the image of the focus of the severe patient on the ultrasonic image can be identified and obtained from the B ultrasonic image, and the image data of the focus of the patient in the historical image can be found from the historical images of the corresponding focus types stored in the background database according to the image types of the corresponding parts. And comparing and analyzing the focus real-time image in the current B ultrasonic image with the focus historical image of the severe patient.
By comparing and analyzing the real-time image with the past historical image of the severe patient, whether the focus of the patient has ultrasonic abnormality can be found, the medical staff can carry out the contrast analysis of the image according to the image diagnosis standard, such as the image diagnosis standard (known by the medical staff) of the skin or a part of the place, and output the corresponding image diagnosis result, wherein the image diagnosis result can be ultrasonic abnormal data after image contrast or the description of contrast image or other diagnosis contents, and the diagnosis result can be sent and displayed at the front end for the medical staff to check so as to assist the clinical staff in the treatment.
As an optional implementation manner of the present application, optionally, comparing and analyzing the B-mode ultrasonic image with the historical B-mode ultrasonic information in the database, and comparing and outputting a corresponding diagnosis result based on a preset diagnosis standard, and further including:
identifying ultrasonic data attributes of the B ultrasonic image;
retrieving ultrasonic historical data corresponding to the ultrasonic data attribute from the database, and comparing and analyzing the ultrasonic real-time data of the B ultrasonic image with the ultrasonic historical data;
based on a preset ultrasonic diagnosis standard, outputting an ultrasonic data diagnosis result corresponding to the focus, and sending and displaying the ultrasonic data diagnosis result at the front end of the terminal system to assist the diagnosis of clinical medical staff.
For the ultrasonic diagnosis standard of the ultrasonic data, the medical staff can also set the ultrasonic diagnosis standard by combining an ultrasonic system.
The ultrasonic image contains ultrasonic data of the focus part of the patient with serious illness, so the proposal can also extract the ultrasonic data on the ultrasonic image, compare the ultrasonic real-time ultrasonic data on the ultrasonic image with the past ultrasonic historical data of the patient with serious illness, and judge whether the ultrasonic data diagnosis result of the corresponding focus part is abnormal or not through the comparative analysis of the ultrasonic data. For example, the ultrasonic comparison of a certain place of skin can find that the ultrasonic real-time data of this time is increased on a certain skin tissue compared with the past ultrasonic historical data, and the data comparison analysis diagnosis result can be sent and displayed at the front end of the terminal system to assist the diagnosis of clinical medical staff.
As an optional embodiment of the present application, optionally, extracting the ultrasound data of the B-ultrasound image, continuously obtaining the ultrasound data of the B-ultrasound image, and generating a corresponding dynamic ultrasound trend graph according to a time sequence, including:
reading the ultrasonic data of the B ultrasonic image in real time, and storing the ultrasonic data according to a time sequence;
constructing a dynamic ultrasonic trend chart of the ultrasonic data according to the corresponding dynamic relation between the time sequence and the ultrasonic data;
and sending and displaying the dynamic ultrasonic trend graph at the front end of the terminal system to assist clinical medical staff in carrying out clinical evaluation on the focus in real time.
When the B-mode ultrasonic image is read, ultrasonic data in the B-mode ultrasonic image can be read through the B-mode ultrasonic system. The ultrasonic data of the corresponding focus part of the severe patient can be read, the ultrasonic data of the corresponding part is associated with the corresponding reading time sequence, so that the corresponding dynamic relation is constructed, for example, the ultrasonic data of the corresponding focus part on the ultrasonic image of a certain time point can be constructed, the dynamic trend graph of the ultrasonic data of the corresponding part can be constructed according to the time sequence, and the dynamic ultrasonic trend graph can be monitored, so that the disease development trend of the severe patient under ultrasonic monitoring can be intuitively judged.
If there is a sudden change in the trend of the ultrasound data shown on the trend graph, there may be some degree of deterioration or improvement. Therefore, medical staff can be timely reminded to timely care the severe patients.
For example, the system monitors the ultrasonic value corresponding to the wave crest or the wave trough on the trend chart, and when the ultrasonic value corresponding to the wave crest or the wave trough exceeds or is lower than a certain value, the system considers that the sudden change occurs, and then gives an alarm.
As an optional embodiment of the present application, optionally, before making the intelligent decision according to the diagnosis result, the method further comprises:
presetting nursing measures corresponding to different types/attributes according to the types/attributes of the focus contrast images/data;
the care measures are saved in the database.
On a terminal system, an intelligent decision module is preset in a database on the terminal in advance, and can recommend different nursing measures for focus images or focus data in different disease development periods according to the types or attributes of ultrasonic images or ultrasonic data of focuses, for example, a nursing measure A of a focus part in an initial stage is recommended, if the focus part is found to be in an initial state by comparing image data, after being identified by the system, the intelligent decision module can search and retrieve the corresponding pre-stored nursing measure A from the database, and the nursing measure A is used for clinical nursing in the initial stage of the focus and can be recommended to a clinical attending doctor to assist the clinical attending doctor in nursing a current severe patient according to the nursing measure A.
As an optional embodiment of the present application, optionally, making an intelligent decision according to the diagnosis result, matching and outputting a care measure corresponding to the diagnosis result from preset care measures in the database, including:
reading the diagnosis result, and judging whether preset focus contrast images/data exist in the diagnosis result or not:
if yes, popping up a warning frame, and matching and outputting nursing measures corresponding to the focus contrast image/data from the preset nursing measures in the database according to the type/attribute of the focus contrast image/data;
and sending and displaying the nursing measures on the front end of the terminal system.
For nursing measures with different types or different attributes stored in the database, the corresponding nursing measures can be set in advance according to the pre-development period of the focus corresponding to the B ultrasonic image or the ultrasonic data, and the corresponding nursing measures and the mapping relation between the corresponding ultrasonic image or the corresponding ultrasonic data are established. The focus contrast data or the type or the attribute of the image can be identified in the follow-up, and then the corresponding nursing measures are retrieved from the database according to the corresponding type or attribute.
When the method is applied to skin evaluation, the system compares the real-time B-ultrasonic image with the images and data in the database in real time, discovers deep tissue problems, and makes deep tissue problem diagnosis. The images automatically shot by the B ultrasonic probe are stored in the system, compared and analyzed with the prior image data, whether the skin is progressed or not can be visually seen, a warning frame is popped up, corresponding skin cancer initial nursing measures are provided, and a foundation is laid for reasonable intervention of the skin.
In addition to skin, ultrasound examination of blood vessels, such as thrombosis, is also possible.
When the system is applied to thrombus screening, the system compares the real-time B-ultrasonic image with the image and data in the database in real time and judges whether thrombus exists or not. Dynamically monitoring the position of thrombus and the degree of thrombus, and when the system monitors that the thrombus exists, popping up a warning frame to inform a doctor in time to assist diagnosis. The system can process the image data to form a trend graph, and real-time, dynamic and accurate assessment is truly realized. The terminal obtains the diagnosis of thrombus, can make intelligent decision and gives corresponding nursing measure suggestions.
Therefore, the diagnosis can be assisted in real time, missed diagnosis or incorrect diagnosis can be avoided, clinical decision is assisted, convenience and high efficiency are realized, and a foundation is laid for severe ultrasonic development. Deep tissue conditions can be probed by using ultrasound, the deep tissue conditions can be accurately known, and intervention can be performed. Provides the medical staff with treatment and nursing measures, improves the ability to correctly treat the problem, li Hui patients.
It should be apparent to those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. It will be appreciated by those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. The storage medium may be a magnetic disk, an optical disc, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a flash memory (flash memory), a hard disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Example 2
As shown in fig. 3, based on the implementation principle of embodiment 1, another aspect of the present application proposes a system for implementing the diagnostic method based on ultrasound image intelligence, including:
the B-ultrasonic probe is used for acquiring the B-ultrasonic image of the severe patient and storing the B-ultrasonic image on the B-ultrasonic host;
the B-ultrasonic host is used for uploading the B-ultrasonic image to the terminal system;
a terminal system for:
(1) Comparing and analyzing the B-ultrasonic image with historical B-ultrasonic information in a database, and comparing and outputting a corresponding diagnosis result based on a preset diagnosis standard;
(2) Extracting ultrasonic data of the B ultrasonic image, continuously acquiring the ultrasonic data of the B ultrasonic image, and generating a corresponding dynamic ultrasonic trend chart according to a time sequence;
(3) And carrying out intelligent decision according to the diagnosis result, and matching and outputting the nursing measures corresponding to the diagnosis result from the nursing measures preset in the database.
The application of the above system for each body is described in detail in example 1.
The modules or steps of the invention described above may be implemented in a general-purpose computing system, they may be centralized in a single computing system, or distributed across a network of computing systems, where they may alternatively be implemented in program code executable by a computing system, where they may be stored in a memory system and executed by a computing system, where they may be separately fabricated into individual integrated circuit modules, or where multiple modules or steps within them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Example 3
As shown in fig. 4, in another aspect, the present application further proposes an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the diagnostic method and system based on ultrasound image intelligence when executing the executable instructions.
Embodiments of the present disclosure provide for an electronic device that includes a processor and a memory for storing processor-executable instructions. Wherein the processor is configured to implement any of the foregoing diagnostic methods and systems based on ultrasound image intelligence when executing executable instructions.
Here, it should be noted that the number of processors may be one or more. Meanwhile, in the electronic device of the embodiment of the disclosure, an input system and an output system may be further included. The processor, the memory, the input system, and the output system may be connected by a bus, or may be connected by other means, which is not specifically limited herein.
The memory is a computer-readable storage medium that can be used to store software programs, computer-executable programs, and various modules, such as: an embodiment of the disclosure provides a diagnostic method based on ultrasound image intellectualization and a program or a module corresponding to the diagnostic method. The processor executes various functional applications and data processing of the electronic device by running software programs or modules stored in the memory.
The input system may be used to receive an input digital or signal. Wherein the signal may be a key signal generated in connection with user settings of the device/terminal/server and function control. The output system may include a display device such as a display screen.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (8)
1. An ultrasonic image-based intelligent diagnosis method is characterized by comprising the following steps:
b ultrasonic images of severe patients are obtained and stored;
uploading the B ultrasonic image to a terminal system, wherein the terminal system is used for:
(1) Comparing and analyzing the B-ultrasonic image with historical B-ultrasonic information in a database, and comparing and outputting a corresponding diagnosis result based on a preset diagnosis standard;
(2) Extracting ultrasonic data of the B ultrasonic image, continuously acquiring the ultrasonic data of the B ultrasonic image, and generating a corresponding dynamic ultrasonic trend chart according to a time sequence;
(3) And carrying out intelligent decision according to the diagnosis result, and matching and outputting the nursing measures corresponding to the diagnosis result from the nursing measures preset in the database.
2. The diagnostic method based on ultrasound image intellectualization according to claim 1, wherein comparing the B-mode image with the historical B-mode information in the database, and outputting the corresponding diagnostic result based on the preset diagnostic standard, comprises:
identifying the focus image type in the B ultrasonic image;
searching a historical image corresponding to the focus image type from the database, and comparing and analyzing the B ultrasonic image and the historical image;
based on a preset image diagnosis standard, outputting an image diagnosis result corresponding to the focus, and sending and displaying the image diagnosis result at the front end of the terminal system to assist the diagnosis of clinical medical staff.
3. The diagnostic method based on ultrasound image intellectualization according to claim 2, wherein comparing the B-mode image with historical B-mode information in a database, and outputting a corresponding diagnostic result based on a preset diagnostic standard, further comprising:
identifying ultrasonic data attributes of the B ultrasonic image;
retrieving ultrasonic historical data corresponding to the ultrasonic data attribute from the database, and comparing and analyzing the ultrasonic real-time data of the B ultrasonic image with the ultrasonic historical data;
based on a preset ultrasonic diagnosis standard, outputting an ultrasonic data diagnosis result corresponding to the focus, and sending and displaying the ultrasonic data diagnosis result at the front end of the terminal system to assist the diagnosis of clinical medical staff.
4. The diagnostic method based on ultrasound image intellectualization according to claim 1, wherein extracting ultrasound data of the B-ultrasound image, continuously acquiring ultrasound data of the B-ultrasound image, and generating a corresponding dynamic ultrasound trend graph according to a time sequence, comprises:
reading the ultrasonic data of the B ultrasonic image in real time, and storing the ultrasonic data according to a time sequence;
constructing a dynamic ultrasonic trend chart of the ultrasonic data according to the corresponding dynamic relation between the time sequence and the ultrasonic data;
and sending and displaying the dynamic ultrasonic trend graph at the front end of the terminal system to assist clinical medical staff in carrying out clinical evaluation on the focus in real time.
5. The diagnostic method based on ultrasound image intelligence of claim 1, further comprising, prior to making the intelligent decision based on the diagnostic result:
presetting nursing measures corresponding to different types/attributes according to the types/attributes of the focus contrast images/data;
the care measures are saved in the database.
6. The diagnostic method based on ultrasound image intelligence according to claim 5, wherein the intelligent decision is made according to the diagnostic result, and the matching and outputting of the care measures corresponding to the diagnostic result from the care measures preset in the database comprises:
reading the diagnosis result, and judging whether preset focus contrast images/data exist in the diagnosis result or not:
if yes, popping up a warning frame, and matching and outputting nursing measures corresponding to the focus contrast image/data from the preset nursing measures in the database according to the type/attribute of the focus contrast image/data;
and sending and displaying the nursing measures on the front end of the terminal system.
7. A system for implementing the ultrasound image-based intelligent diagnostic method of any one of claims 1-6, comprising:
the B-ultrasonic probe is used for acquiring the B-ultrasonic image of the severe patient and storing the B-ultrasonic image on the B-ultrasonic host;
the B-ultrasonic host is used for uploading the B-ultrasonic image to the terminal system;
a terminal system for:
(1) Comparing and analyzing the B-ultrasonic image with historical B-ultrasonic information in a database, and comparing and outputting a corresponding diagnosis result based on a preset diagnosis standard;
(2) Extracting ultrasonic data of the B ultrasonic image, continuously acquiring the ultrasonic data of the B ultrasonic image, and generating a corresponding dynamic ultrasonic trend chart according to a time sequence;
(3) And carrying out intelligent decision according to the diagnosis result, and matching and outputting the nursing measures corresponding to the diagnosis result from the nursing measures preset in the database.
8. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the ultrasound image-based intelligent diagnostic method of any one of claims 1-6 when executing the executable instructions.
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