CN112669951A - AI application system applied to intelligent endoscope operation - Google Patents
AI application system applied to intelligent endoscope operation Download PDFInfo
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Abstract
The invention discloses an AI application system applied to an intelligent endoscopic surgery, which comprises an image acquisition unit, a comprehensive processing unit, a recording unit, an endoscopic protection unit, a data analysis unit, a protection measure selection unit, an execution unit, a judgment unit, a data summarization unit, a total data transmission unit and a cloud database. The invention collects and accumulates through the cloud database to accumulate all the symptoms and safety measures used by the equipment, so as to quickly deal with different emergencies and illness states, the thinking time of doctors can be better reduced, only a plurality of schemes need to be provided for doctors, the thinking of the system CPU is utilized to replace the brain of people, the thinking time is certainly accelerated, the insufficiency of the operation experience of some doctors is effectively filled, the difficulty of operation decision is caused, and then the corresponding symptoms are quickly solved, thereby ensuring the integral safety of patients in the treatment process.
Description
Technical Field
The invention relates to an AI system, in particular to an AI application system applied to an intelligent endoscopic surgery, belonging to the technical field of endoscopes.
Background
The endoscope is a detecting instrument integrating traditional optics, ergonomics, precision machinery, modern electronics, mathematics and software into a whole, and is provided with an image sensor, an optical lens, a light source lighting device, a mechanical device and the like, and can enter the stomach through the oral cavity or enter the body through other natural pores. Since a lesion which cannot be displayed by X-ray can be seen by an endoscope, it is very useful for a doctor. For example, with the aid of an endoscopist, an ulcer or tumor in the stomach can be observed, and an optimal treatment plan can be developed accordingly.
The existing doctors are used for checking and detecting when performing operations, much of the doctors are used for predicting and analyzing according to the experience and experience of the doctors, so that the deviation is easy to occur in the processes of the inspection and the operations, the doctors need to think by themselves, a quick solution scheme cannot be provided, the patients are not timely caused to possibly have certain sequelae or complications, the health of the patients is seriously affected, meanwhile, the doctor cannot timely and effectively solve the emergency situation when performing endoscopy.
Disclosure of Invention
The invention mainly aims to provide an AI application system applied to an intelligent endoscopic surgery, which carries out scheme accumulation on all disease symptoms and safety measures used by the equipment by collecting and accumulating a cloud database to continuously enrich the whole scheme of the whole AI system so as to quickly cope with different emergencies and disease conditions, can better reduce the thinking time of doctors, only needs to provide a plurality of schemes for doctors, utilizes a system CPU to replace the thinking of human brain, certainly quickens the thinking time, effectively solves the problems of insufficient operation experience of some doctors, difficult operation decision and difficult analysis, can provide a plurality of safe and effective schemes for the reference of the doctors, further quickly solves the corresponding disease symptoms, quickly solves the complications generated in the operation process, and further ensures the integral safety of patients in the treatment process, the continuous accumulation of the cloud database, the continuous sorting and analysis of the data of each operation and the scheme accumulation are utilized to better deal with the same and similar diseases, so that a single cloud database accumulates all the schemes of most doctors, each doctor is equivalent to more different doctors for coaching and provides the schemes to better and more quickly solve the disease condition of a patient, a single scheme is recorded through the arranged recording unit, when some individual special cases or successful cases appear and are provided for the observation of a intern, the auxiliary effect on the intern is also realized, the growth of the intern is accelerated, a teaching course is provided for the culture of subsequent medical workers, and meanwhile, through the design of the forcing module, the diseases which can not be judged by some AI systems can be freely solved only by the fact that the doctor enters the forcing module to perform the single operation, the prediction module can well predict the next emergency and provide the preparation time for medical staff to better solve the necessary emergency.
The purpose of the invention can be achieved by adopting the following technical scheme:
an AI application system for during intelligent endoscopic surgery, which is characterized in that: the system comprises an image acquisition unit, a comprehensive processing unit, a recording unit, an inward vision protection unit, a data analysis unit, a protection measure selection unit, an execution unit, a judgment unit, a data summarization unit, a total data transmission unit and a cloud database;
an image acquisition unit: the medical staff can directly check the image data on a display screen which transmits the image data in real time through the camera networking;
a comprehensive processing unit: comprehensively analyzing the transmitted image patterns to obtain different conclusions and recommend different solutions;
a recording unit: recording each step and implementation scheme of the doctor in the operation process in real time to learn in later period and to use as a teaching material for teaching;
the inward vision protection unit: when the endoscope is inserted into the endoscope, some abnormal emergency situations which may occur are dealt with, and timely correction and protection are carried out;
a data analysis unit: the different emergencies are analyzed in time to judge what the emergencies occur, the symptoms are determined in percentage, a plurality of conditions are provided for doctors to make decision-making judgment, and a conclusion can be obtained according to data analysis and a signal instruction is sent according to the symptom with the maximum probability;
protection measure selection unit: providing a plurality of protection schemes for the emergent situations, and enabling doctors to watch the emergent situations so as to select actual situations;
an execution unit: issuing the instruction to each device through the selected instruction, and executing protective measures;
a judging unit: after the instruction is issued, whether the measure is taken or not is judged through internal data integration
A data summarization unit: the system is used for carrying out arrangement centralized management on all the comprehensive data and the actual operation steps;
a total data transmission unit: integral transmission of user data, namely storing and transmitting the integral data in a digital encoder mode;
cloud database: the system is used for recording the disease information of each treatment, operating, recording and summarizing to intensively accumulate all diseases, and enrich the integral AI system so as to directly and rapidly process the cases similar to the next case according to the AI system.
Preferably, the image acquisition unit mainly comprises a camera and a display mirror, and transmits pattern signals to the display through the implementation and transmission of a 5G network, so that medical personnel can observe all the peripheral conditions inside the operation in real time.
Preferably, the image acquisition unit comprises an equipment traction module, an equipment avoiding module, an equipment positioning module, a model loading module and an image timing output module; the equipment traction module is used for traction on peripheral tissues of a patient in the moving process of the camera, and space is provided so that the camera can conveniently move; the equipment avoiding module is used for avoiding, contracting and buffering when the equipment collides with tissue cells due to the fact that the equipment moves at an excessively high speed, so that the camera is guaranteed to always transmit clear patterns, and tissues of a patient are protected; the equipment positioning module is used for fixing a certain fixed position, so that medical personnel are prevented from holding the camera all the time, and the fatigue of hands is increased; the model loading module is used for loading the 3D model on the whole periphery of the pattern to judge that other tissue cells around the position have neurons, and displaying the cells around the whole position in an animation mode to avoid mistaken touch on the neurons in the operation process; the image timing output module is used for outputting and storing the patterns provided by the camera in a timing manner, so that real-time examination of diseases is facilitated.
Preferably, the integrated processing unit mainly comprises a CPU chip, a signal receiver and a signal output device, is used for comprehensively analyzing and judging the symptoms of the endoscopic images, provides the judgment symptoms in percentage, cannot directly judge the symptoms, can only analyze and judge the symptoms in percentage, and finally judges the symptoms to belong to the doctor of the doctor.
Preferably, the recording unit comprises a voice recognition module, a recording module, a character translation module, a printing module, an equipment recording module, a time recording module, a recording module before equipment use and a recording module after equipment use; the voice recognition module is used for determining and recognizing the voice of the doctor; the recording module is used for recording and recording all languages in the operation process, so that the operation case language is well discussed after operation, and the operation is continuously improved; the text translation module is used for storing a mode of integrating and translating the language records into texts in the operation process, and the printing module is used for viewing the translated text language records in a paper file mode, so that the whole and analysis after the operation are facilitated, and the teaching reference of successful cases to postnatal students is facilitated; the equipment recording module is used for recording the serial number of the used equipment on line; the time recording module is used for recording the use time of the equipment, and the recording module before the use of the equipment is used for checking cases used by the equipment before operation; the device after use recording module is used for recording the device after use, and effectively recording the user and applicable diseases so as to provide certain reference for subsequent postoperative personnel.
Preferably, the endoscopic protection unit comprises a bleeding protection device, a touch protection device, an alarm module, a misoperation protection device and a shaking protection device, wherein the bleeding protection device is used for effectively protecting tissue bleeding caused in the traction process of the endoscope, the bleeding protection device comprises slight bleeding, moderate bleeding and severe bleeding, and different protection measures are provided by performing data analysis according to different bleeding amounts; touch protection is used for protecting tissues which can be touched by an endoscope in an extension process for the second time, and when some organs or important neurons are touched, the problem is caused, and a relative protection measure is provided; the misoperation protection is used for protecting the doctor from improper operation, so that the damage to internal tissues caused by overlarge use force of the doctor is avoided; the jitter protection is used for prompting a doctor when the system automatically detects that the jitter frequency of the equipment is greater than a certain fixed value in the process of holding the equipment by the doctor, and the doctor is warned; the alarm module is used for carrying out alarm prompt on the emergency situation so as to prompt surrounding medical care personnel to carry out a preparation stage of tension.
Preferably, the data analysis unit is used for performing data integration analysis on the emergency situations, judging whether the step has defects or not, and judging whether the step has problems to perform analysis processing.
Preferably, the safeguard measure selection unit comprises a bleeding safeguard measure module, a touch safeguard measure module, a misoperation safeguard measure module and a shaking safeguard measure module. The device comprises a voice instruction input module, a back ditch analysis module and a display module; the bleeding protective measure module is used for providing corresponding emergency measures in the bleeding process; the touch protective measure module is used for providing corresponding emergency measures in the bleeding process; the misoperation protection measure module is used for providing corresponding emergency measures in the bleeding process; the jitter protection measure module is used for providing corresponding emergency measures in the bleeding process; the voice instruction input module is used for carrying out input recognition on the improper selected measures by using the voice of a doctor and carrying out instruction transmission; the consequence analysis module provides subsequent possible complications for all the protective measures to be carried out so as to provide the safest scheme measure for doctors; the display module is used for displaying all measures and possible symptoms after implementation in a text mode to effectively protect.
Preferably, the execution unit includes a prediction module, a behavior analysis module and a forcing module; the prediction module is used for predicting a certain executed instruction to effectively predict whether the measure can solve the symptom or not so as to provide an optimal solution for a doctor; the behavior analysis module is used for analyzing the scheme made by the doctor, judging whether the possibility exists and whether the instruction is executed; the forcing module is used to systematically override the bursty condition.
Preferably, the judging unit is used for judging whether the problem disease is solved or not by judging the implementation of the scheme; the data summarizing unit is used for recording implemented scheme measures to integrate, and the total data transmission unit is used for recording all schemes and voices in the operation process to comprehensively evaluate the operation and then integrally transmit data; the cloud database is used for accumulating and storing all operations to collect most of symptoms, so that the subsequent symptoms of the same type can be directly diagnosed and instructions can be directly transmitted.
The invention has the beneficial technical effects that:
the AI application system applied to the intelligent endoscopic surgery provided by the invention accumulates schemes for all disease symptoms and safety measures used by the equipment by collecting and accumulating the cloud database to continuously enrich the overall scheme of the whole AI system so as to quickly cope with different emergencies and disease conditions, can better reduce the thinking time of doctors, only needs to provide a plurality of schemes for doctors, utilizes the system CPU to replace the thinking of the brain, certainly quickens the thinking time, effectively fills the problems of insufficient operation experience of some doctors, difficult operation decision and difficult analysis, can provide a plurality of safe and effective schemes for the doctors to refer to, further quickly solves the corresponding disease symptoms, and quickly solves the complications generated in the operation process, thereby ensuring the overall safety of patients in the treatment process, the continuous accumulation of the cloud database, the continuous sorting and analysis of the data of each operation and the scheme accumulation are utilized to better deal with the same and similar diseases, so that a single cloud database accumulates all the schemes of most doctors, each doctor is equivalent to more different doctors for coaching and provides the schemes to better and more quickly solve the disease condition of a patient, a single scheme is recorded through the arranged recording unit, when some individual special cases or successful cases appear and are provided for the observation of a intern, the auxiliary effect on the intern is also realized, the growth of the intern is accelerated, a teaching course is provided for the culture of subsequent medical workers, and meanwhile, through the design of the forcing module, the diseases which can not be judged by some AI systems can be freely solved only by the fact that the doctor enters the forcing module to perform the single operation, the prediction module can well predict the next emergency and provide the preparation time for medical staff to better solve the necessary emergency.
Drawings
Fig. 1 is a system diagram of a preferred embodiment of an AI application system applied to an intelligent endoscopic surgery according to the present invention.
Fig. 2 is a schematic diagram of an image capturing unit according to a preferred embodiment of the AI application system for intelligent endoscopic surgery according to the present invention.
Fig. 3 is a schematic diagram of an AI application recording unit applied to an intelligent endoscopic surgery according to the present invention.
Fig. 4 is a schematic diagram of an internal view protection unit of the AI application system applied to an intelligent endoscopic surgery according to the present invention.
Fig. 5 is a schematic diagram of an AI application system safeguard selection unit applied to an intelligent endoscopic surgery according to the present invention.
Fig. 6 is a schematic diagram of an execution unit of an AI application system applied to an intelligent endoscopic surgery according to the present invention.
Detailed Description
In order to make the technical solutions of the present invention more clear and definite for those skilled in the art, the present invention is further described in detail below with reference to the examples and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
As shown in fig. 1, the AI application system applied to an intelligent endoscopic surgery provided by the present embodiment includes an image acquisition unit, a comprehensive processing unit, a recording unit, an endoscopic protection unit, a data analysis unit, a protection measure selection unit, an execution unit, a determination unit, a data summarization unit, a total data transmission unit, and a cloud database;
an image acquisition unit: the medical staff can directly check the image data on a display screen which transmits the image data in real time through the camera networking;
a comprehensive processing unit: comprehensively analyzing the transmitted image patterns to obtain different conclusions and recommend different solutions;
a recording unit: recording each step and implementation scheme of the doctor in the operation process in real time to learn in later period and to use as a teaching material for teaching;
the inward vision protection unit: when the endoscope is inserted into the endoscope, some abnormal emergency situations which may occur are dealt with, and timely correction and protection are carried out;
a data analysis unit: the different emergencies are analyzed in time to judge what the emergencies occur, the symptoms are determined in percentage, a plurality of conditions are provided for doctors to make decision-making judgment, and a conclusion can be obtained according to data analysis and a signal instruction is sent according to the symptom with the maximum probability;
protection measure selection unit: providing a plurality of protection schemes for the emergent situations, and enabling doctors to watch the emergent situations so as to select actual situations;
an execution unit: issuing the instruction to each device through the selected instruction, and executing protective measures;
a judging unit: after the instruction is issued, whether the measure is taken or not is judged through internal data integration
A data summarization unit: the system is used for carrying out arrangement centralized management on all the comprehensive data and the actual operation steps;
a total data transmission unit: integral transmission of user data, namely storing and transmitting the integral data in a digital encoder mode;
cloud database: the system is used for recording the disease information of each treatment, operating, recording and summarizing to intensively accumulate all diseases, and enrich the integral AI system so as to directly and rapidly process the cases similar to the next case according to the AI system.
In this embodiment, as shown in fig. 2, the image acquisition unit mainly comprises a camera and a display mirror, and transmits a pattern signal to the display through the implementation and transmission of a 5G network, so that medical staff can observe all the peripheral conditions inside the operation in real time.
In this embodiment, as shown in fig. 2, the image acquisition unit includes an equipment traction module, an equipment avoidance module, an equipment positioning module, a model loading module, and an image timing output module; the equipment traction module is used for traction on peripheral tissues of a patient in the moving process of the camera, and space is provided so that the camera can conveniently move; the equipment avoiding module is used for avoiding, contracting and buffering when the equipment collides with tissue cells due to the fact that the equipment moves at an excessively high speed, so that the camera is guaranteed to always transmit clear patterns, and tissues of a patient are protected; the equipment positioning module is used for fixing a certain fixed position, so that medical personnel are prevented from holding the camera all the time, and the fatigue of hands is increased; the model loading module is used for loading the 3D model on the whole periphery of the pattern to judge that other tissue cells around the position have neurons, and displaying the cells around the whole position in an animation mode to avoid mistaken touch on the neurons in the operation process; the image timing output module is used for outputting and storing the patterns provided by the camera in a timing manner, so that real-time examination of diseases is facilitated.
In this embodiment, as shown in fig. 1, the main structure of the integrated processing unit is composed of a CPU chip, a signal receiver and a signal output device, and is used for comprehensively analyzing and judging the endoscopic image to provide a judgment symptom in percentage, so that the device cannot directly judge the endoscopic image, can only analyze and judge the endoscopic image in percentage, and finally decide the endoscopic image to belong to the doctor of the doctor.
In this embodiment, as shown in fig. 3, the recording unit includes a voice recognition module, a recording module, a text translation module, a printing module, a device recording module, a time recording module, a device before-use recording module, and a device after-use recording module; the voice recognition module is used for determining and recognizing the voice of the doctor; the recording module is used for recording and recording all languages in the operation process, so that the operation case language is well discussed after operation, and the operation is continuously improved; the text translation module is used for storing a mode of integrating and translating the language records into texts in the operation process, and the printing module is used for viewing the translated text language records in a paper file mode, so that the whole and analysis after the operation are facilitated, and the teaching reference of successful cases to postnatal students is facilitated; the equipment recording module is used for recording the serial number of the used equipment on line; the time recording module is used for recording the use time of the equipment, and the recording module before the use of the equipment is used for checking cases used by the equipment before operation; the device after use recording module is used for recording the device after use, and effectively recording the user and applicable diseases so as to provide certain reference for subsequent postoperative personnel.
In this embodiment, as shown in fig. 4, the endoscopic protection unit includes a bleeding protection device, a touch protection device, an alarm module, a misoperation protection device and a shaking protection device, the bleeding protection device effectively protects tissue bleeding caused in the endoscope traction process, the bleeding protection device includes light bleeding, moderate bleeding and severe bleeding, and different protection measures are provided by analyzing data according to different bleeding amounts; touch protection is used for protecting tissues which can be touched by an endoscope in an extension process for the second time, and when some organs or important neurons are touched, the problem is caused, and a relative protection measure is provided; the misoperation protection is used for protecting the doctor from improper operation, so that the damage to internal tissues caused by overlarge use force of the doctor is avoided; the jitter protection is used for prompting a doctor when the system automatically detects that the jitter frequency of the equipment is greater than a certain fixed value in the process of holding the equipment by the doctor, and the doctor is warned; the alarm module is used for carrying out alarm prompt on the emergency situation so as to prompt surrounding medical care personnel to carry out a preparation stage of tension.
In the present embodiment, as shown in fig. 1, an AI application system applied to an intelligent endoscopic surgery is provided, and the data analysis unit is configured to perform integrated analysis of data for an emergency situation, determine which step is defective, and determine which step is problematic to perform analysis processing.
In this embodiment, as shown in fig. 5, the safeguard selection unit includes a bleeding safeguard module, a touch safeguard module, a malfunction safeguard module, and a jitter safeguard module. The device comprises a voice instruction input module, a back ditch analysis module and a display module; the bleeding protective measure module is used for providing corresponding emergency measures in the bleeding process; the touch protective measure module is used for providing corresponding emergency measures in the bleeding process; the misoperation protection measure module is used for providing corresponding emergency measures in the bleeding process; the jitter protection measure module is used for providing corresponding emergency measures in the bleeding process; the voice instruction input module is used for carrying out input recognition on the improper selected measures by using the voice of a doctor and carrying out instruction transmission; the consequence analysis module provides subsequent possible complications for all the protective measures to be carried out so as to provide the safest scheme measure for doctors; the display module is used for displaying all measures and possible symptoms after implementation in a text mode to effectively protect.
In this embodiment, as shown in fig. 6, the execution unit includes a prediction module, a behavior analysis module, and a forcing module; the prediction module is used for predicting a certain executed instruction to effectively predict whether the measure can solve the symptom or not so as to provide an optimal solution for a doctor; the behavior analysis module is used for analyzing the scheme made by the doctor, judging whether the possibility exists and whether the instruction is executed; the forcing module is used for forcing the forcing module to give out the instruction according to experience when the system cannot process the emergency situation.
In the present embodiment, as shown in fig. 1, the judging unit is configured to judge whether the problem condition is resolved by performing the recipe; the data summarizing unit is used for recording implemented scheme measures to integrate, and the total data transmission unit is used for recording all schemes and voices in the operation process to comprehensively evaluate the operation and then integrally transmit data; the cloud database is used for accumulating and storing all operations to collect most of symptoms, so that the subsequent symptoms of the same type can be directly diagnosed and instructions can be directly transmitted.
To sum up, in the embodiment, the cloud database is used for collecting and accumulating to accumulate all the disease symptoms and safety measures used by the device, so as to continuously enrich the overall scheme of the whole AI system, so as to quickly cope with different emergencies and disease conditions, to better reduce the thinking time of doctors, only to provide a plurality of schemes to doctors, to replace the thinking of human brain by using the system CPU, to certainly accelerate the thinking time, to effectively solve the problems of insufficient operation experience of some doctors, difficulty in operation decision and difficulty in analysis, to provide a plurality of safe and effective schemes to refer to the doctors, to further quickly solve the corresponding disease symptoms, to quickly solve the complications generated in the operation process, to ensure the overall safety of patients in the treatment process, and to continuously use the cloud database for accumulation, the data of each operation is continuously sorted and analyzed, the schemes are accumulated to better deal with the same and similar diseases, so that a single cloud database accumulates all the schemes of most doctors, each doctor is equivalent to more different doctors for coaching and providing the schemes to better and more quickly solve the disease condition of a patient, a single scheme is recorded through a set recording unit, when some individual special cases or successful cases appear and are provided for a trainee to watch, the auxiliary effect on the trainee is also realized, the growth of the trainee is accelerated, explanation courses are provided for the culture of subsequent medical personnel, meanwhile, through the design of a forcing module, the diseases which cannot be judged by some AI systems can be freely solved only by the fact that the doctors enter the forcing module to perform single operation, and the prediction module can well predict the burst of the next situation, to provide the medical staff with preparation time to better address the necessary emergency.
The above description is only for the purpose of illustrating the present invention and is not intended to limit the scope of the present invention, and any person skilled in the art can substitute or change the technical solution of the present invention and its conception within the scope of the present invention.
Claims (10)
1. An AI application system for during intelligent endoscopic surgery, which is characterized in that: the system comprises an image acquisition unit, a comprehensive processing unit, a recording unit, an inward vision protection unit, a data analysis unit, a protection measure selection unit, an execution unit, a judgment unit, a data summarization unit, a total data transmission unit and a cloud database;
an image acquisition unit: the medical staff can directly check the image data on a display screen which transmits the image data in real time through the camera networking;
a comprehensive processing unit: comprehensively analyzing the transmitted image patterns to obtain different conclusions and recommend different solutions;
a recording unit: recording each step and implementation scheme of the doctor in the operation process in real time to learn in later period and to use as a teaching material for teaching;
the inward vision protection unit: when the endoscope is inserted into the endoscope, some abnormal emergency situations which may occur are dealt with, and timely correction and protection are carried out;
a data analysis unit: the different emergencies are analyzed in time to judge what the emergencies occur, the symptoms are determined in percentage, a plurality of conditions are provided for doctors to make decision-making judgment, and a conclusion can be obtained according to data analysis and a signal instruction is sent according to the symptom with the maximum probability;
protection measure selection unit: providing a plurality of protection schemes for the emergent situations, and enabling doctors to watch the emergent situations so as to select actual situations;
an execution unit: issuing the instruction to each device through the selected instruction, and executing protective measures;
a judging unit: after the instruction is issued, whether the measure achieves the effect or not is judged through internal data integration;
a data summarization unit: the system is used for carrying out arrangement centralized management on all the comprehensive data and the actual operation steps;
a total data transmission unit: integral transmission of user data, namely storing and transmitting the integral data in a digital encoder mode;
cloud database: the system is used for recording the disease information of each treatment, operating, recording and summarizing to intensively accumulate all diseases, and enrich the integral AI system so as to directly and rapidly process the cases similar to the next case according to the AI system.
2. The AI application system for use in an intelligent endoscopic procedure according to claim 1, wherein: the image acquisition unit mainly comprises camera and display mirror, and through the implementation transmission of 5G network, transmits pattern signal to the display for medical personnel can observe all circumstances of the periphery of the inside operation in real time.
3. The AI application system for use in an intelligent endoscopic procedure according to claim 1, wherein: the image acquisition unit comprises an equipment traction module, an equipment avoiding module, an equipment positioning module, a model loading module and an image timing output module; the equipment traction module is used for traction on peripheral tissues of a patient in the moving process of the camera, and space is provided so that the camera can conveniently move; the equipment avoiding module is used for avoiding, contracting and buffering when the equipment collides with tissue cells due to the fact that the equipment moves at an excessively high speed, so that the camera is guaranteed to always transmit clear patterns, and tissues of a patient are protected; the equipment positioning module is used for fixing a certain fixed position, so that medical personnel are prevented from holding the camera all the time, and the fatigue of hands is increased; the model loading module is used for loading the 3D model on the whole periphery of the pattern to judge that other tissue cells around the position have neurons, and displaying the cells around the whole position in an animation mode to avoid mistaken touch on the neurons in the operation process; the image timing output module is used for outputting and storing the patterns provided by the camera in a timing manner, so that real-time examination of diseases is facilitated.
4. The AI application system for use in an intelligent endoscopic procedure according to claim 1, wherein: the comprehensive processing unit mainly comprises a CPU chip, a signal receiver and a signal output device, is used for comprehensively analyzing and judging the symptoms of the endoscopic images, provides judgment symptoms in percentage, can not directly judge the symptoms by equipment, can only analyze and judge in percentage, and finally judges to belong to a doctor with the main doctor.
5. The AI application system for use in an intelligent endoscopic procedure according to claim 1, wherein: the recording unit comprises a voice recognition module, a recording module, a character translation module, a printing module, an equipment recording module, a time recording module, a recording module before equipment use and a recording module after equipment use; the voice recognition module is used for determining and recognizing the voice of the doctor; the recording module is used for recording and recording all languages in the operation process, so that the operation case language is well discussed after operation, and the operation is continuously improved; the text translation module is used for storing a mode of integrating and translating the language records into texts in the operation process, and the printing module is used for viewing the translated text language records in a paper file mode, so that the whole and analysis after the operation are facilitated, and the teaching reference of successful cases to postnatal students is facilitated; the equipment recording module is used for recording the serial number of the used equipment on line; the time recording module is used for recording the use time of the equipment, and the recording module before the use of the equipment is used for checking cases used by the equipment before operation; the device after use recording module is used for recording the device after use, and effectively recording the user and applicable diseases so as to provide certain reference for subsequent postoperative personnel.
6. A use method of an AI application system applied to intelligent endoscopic surgery is characterized in that: the endoscope protecting unit comprises a bleeding protection unit, a touch protection unit, an alarm module, a misoperation protection unit and a shaking protection unit, wherein the bleeding protection unit is used for effectively protecting tissue bleeding caused in the traction process of the endoscope, the bleeding protection unit comprises slight bleeding, moderate bleeding and severe bleeding, and different protection measures are provided by performing data analysis according to different bleeding amounts; touch protection is used for protecting tissues which can be touched by an endoscope in an extension process for the second time, and when some organs or important neurons are touched, the problem is caused, and a relative protection measure is provided; the misoperation protection is used for protecting the doctor from improper operation, so that the damage to internal tissues caused by overlarge use force of the doctor is avoided; the jitter protection is used for prompting a doctor when the system automatically detects that the jitter frequency of the equipment is greater than a certain fixed value in the process of holding the equipment by the doctor, and the doctor is warned; the alarm module is used for carrying out alarm prompt on the emergency situation so as to prompt surrounding medical care personnel to carry out a preparation stage of tension.
7. The AI application system for use in an intelligent endoscopic procedure according to claim 1, wherein: the data analysis unit is used for performing data integration analysis on the emergency situations, judging whether the step has defects or not, and judging whether the step has problems to perform analysis processing.
8. The AI application system for use in an intelligent endoscopic procedure according to claim 1, wherein: the protective measure selection unit comprises a bleeding protective measure module, a touch protective measure module, a misoperation protective measure module and a shaking protective measure module;
the device comprises a voice instruction input module, a back ditch analysis module and a display module; the bleeding protective measure module is used for providing corresponding emergency measures in the bleeding process; the touch protective measure module is used for providing corresponding emergency measures in the bleeding process; the misoperation protection measure module is used for providing corresponding emergency measures in the bleeding process; the jitter protection measure module is used for providing corresponding emergency measures in the bleeding process; the voice instruction input module is used for carrying out input recognition on the improper selected measures by using the voice of a doctor and carrying out instruction transmission; the consequence analysis module provides subsequent possible complications for all the protective measures to be carried out so as to provide the safest scheme measure for doctors; the display module is used for displaying all measures and possible symptoms after implementation in a text mode to effectively protect.
9. The AI application system for use in an intelligent endoscopic procedure according to claim 1, wherein: the execution unit comprises a prediction module, a behavior analysis module and a forcing module; the prediction module is used for predicting a certain executed instruction to effectively predict whether the measure can solve the symptom or not so as to provide an optimal solution for a doctor; the behavior analysis module is used for analyzing the scheme made by the doctor, judging whether the possibility exists and whether the instruction is executed; the forcing module is used for forcing the forcing module to give out the instruction according to experience when the system cannot process the emergency situation.
10. The AI application system for use in an intelligent endoscopic procedure according to claim 1, wherein: the judging unit is used for judging whether the problem disease is solved or not by implementing the scheme; the data summarizing unit is used for recording implemented scheme measures to integrate, and the total data transmission unit is used for recording all schemes and voices in the operation process to comprehensively evaluate the operation and then integrally transmit data; the cloud database is used for accumulating and storing all operations to collect most of symptoms, so that the subsequent symptoms of the same type can be directly diagnosed and instructions can be directly transmitted.
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