Ear-nose-throat endoscope intelligent diagnosis auxiliary system based on AI image recognition

Abstract

The invention discloses an ear-nose-throat endoscope intelligent diagnosis auxiliary system based on AI image recognition, and relates to the technical field of medical artificial intelligence, the ear-nose-throat endoscope intelligent diagnosis auxiliary system is composed of an application server, a storage server and a terminal, the application server comprises an ear-nose-throat basic information management module which can receive, match and calibrate ear-nose-throat basic information; the current ear-nose-throat condition index management module can analyze images and indexes and generate current condition information; the illness evolution prediction module can predict illness; the treatment scheme evaluation module can evaluate a treatment scheme, the ear-nose-throat diagnosis and treatment plan project management module, the index management module, the effect management module and the like are responsible for project management, scale analysis, effect evaluation and the like respectively, the system report management module can generate a diagnosis and treatment plan outline report, and the system management module is used for configuring and managing basic parameters. The processing results of all the modules are stored in the storage server, part of information is displayed on the terminal, and the workbench can access and maintain the application server through a browser, so that comprehensive intelligent assistance is provided for ear-nose-throat diagnosis.

Description

Technical Field

[0001] The present invention relates to the field of medical artificial intelligence technology, and more specifically, to an otolaryngology endoscope intelligent diagnosis assistance system based on AI image recognition. Background Art

[0002] In the field of diagnosis and treatment of ENT diseases, traditional methods mainly rely on doctors' subjective observation and experience judgment of ENT endoscopic images. However, with the increase in the number of patients and the complexity of disease types, this diagnostic model has many limitations. First, doctors are easily disturbed by experience differences and visual fatigue during the diagnostic process, resulting in frequent misdiagnosis and missed diagnosis. Second, the anatomical structure of the ENT area is complex and subtle, and the resolution of traditional endoscopic images is limited, making it difficult to capture the subtle features of early lesions, delaying the best time for treatment.

[0003] At the information management level, there is an information island problem within the hospital. Basic ENT information is stored in terminal devices in different departments. There is a lack of a unified standardized management mechanism. Standard configuration sheets and configuration sheets awaiting review are mixed together, and information is not updated in a timely manner. As a result, the patient data obtained by doctors may be outdated or contain errors. In addition, the statistical analysis of medical history information relies on manual compilation, which is inefficient and error-prone, making it difficult to discover potential patterns in the data.

[0004] Existing technologies also have shortcomings in disease analysis and prediction. Traditional methods can only perform simple morphological analysis on images of the ear, nose and throat area, and are unable to integrate biomechanical and multi-physics field modeling data. It is difficult to construct a dynamic simulation of the internal environment of the ear, nose and throat. The treatment plan evaluation process lacks quantitative analysis tools, and doctors cannot accurately predict the effects of different treatment methods, resulting in a certain degree of blindness in the formulation of treatment plans.

[0005] Therefore, existing ENT endoscopic diagnosis relies on subjective experience, information management is chaotic and updates are delayed, disease analysis lacks multimodal data fusion, and treatment plan evaluation lacks quantitative prediction tools. Summary of the Invention

[0006] In order to overcome the above-mentioned problems existing in the prior art, the present invention discloses an otolaryngology endoscope intelligent diagnostic auxiliary system based on AI image recognition, which can effectively solve the above-mentioned technical problems.

[0007] In order to solve the above technical problems, the technical solutions of the present invention are as follows:

[0008] An intelligent ENT endoscopy diagnostic assistance system based on AI image recognition includes an application server, a storage server that provides application information to the application server and stores information processed by the application server, and a terminal for accessing the application server. The application server includes an ENT basic information management module, and the ENT basic information management module also includes:

[0009] The information access unit is used to receive configuration sheets containing corresponding basic ENT information transmitted by each terminal. Configuration sheets are divided into standard configuration sheets from different sources and pending configuration sheets. Standard configuration sheets are configuration sheets pre-set by the user or approved by the user, while pending configuration sheets are configuration sheets that have not been approved by the user. Basic ENT information includes images of the ENT area and patient body function indicators obtained using quantum optical imaging technology.

[0010] An information matching and replacement unit is used to match the standard ENT basic information in the standard configuration sheet with the corresponding ENT basic information to be matched in the corresponding configuration sheet to be matched, and replace the corresponding ENT basic information to be matched in the configuration sheet to be matched with the corresponding standard ENT basic information according to the matching situation;

[0011] The information calibration unit is used to verify the information in the corresponding configuration sheet after matching, and calibrate the basic ENT information in the configuration sheet according to the verification result;

[0012] The information access unit is also used to send the configuration form after information verification to the storage server for storage;

[0013] The information calibration unit includes:

[0014] The configuration sheet acquisition subunit is used to acquire the configuration sheet that needs information verification;

[0015] The verification object generation subunit is used to generate the corresponding verification object according to the name and table characteristics of the obtained configuration form;

[0016] The inspection task construction unit is used to establish corresponding relationships between different verification objects and corresponding verification specifications to construct corresponding verification tasks; the verification specifications are set in advance;

[0017] The inspection sub-unit is used to perform verification tasks and verify the corresponding verification objects according to the verification specifications; when it is detected that the basic ENT information in the configuration sheet corresponding to the verification object does not meet the corresponding verification specifications, the basic ENT information that does not meet the verification specifications in the configuration sheet is marked, and the marked ENT basic information is calibrated according to the user's modification action.

[0018] Preferably, the application server further comprises an ENT current status indicator management module, wherein the ENT current status indicator management module is used to:

[0019] Quantum optical imaging technology is used to extract and analyze features of the ENT images obtained from the verified configuration list;

[0020] Use biomechanical artificial intelligence to model and analyze patients' physiological indicators, and combine multi-physics field modeling to simulate the internal environment of the ear, nose and throat;

[0021] Performing statistical analysis on the data of each ENT indicator based on the above analysis results, and generating current status analysis information of each ENT indicator based on the statistical analysis results;

[0022] The information access unit is further configured to send the current status analysis information of each ENT indicator to the storage server for storage.

[0023] Preferably, the application server further comprises a disease progression prediction module, which is used to:

[0024] Conduct statistical analysis on the patient's medical history information in the verified configuration form;

[0025] Combining dynamic monitoring information from quantum optical imaging, biomechanical artificial intelligence models, and multi-physics field modeling results, we can obtain predictions about the evolution of disease conditions in various ENT areas based on statistical analysis results.

[0026] The information access unit is further configured to send the corresponding disease progression prediction information to the storage server for storage.

[0027] Preferably, the application server further comprises a treatment plan evaluation module, wherein the treatment plan evaluation module is configured to:

[0028] Based on the statistical analysis results of the disease history information and the biomechanical artificial intelligence model, the disease development trend of each ENT part is obtained, and the corresponding treatment effect evaluation indicators for each ENT part are determined;

[0029] Based on the predicted information on the disease evolution of each ENT site and the effects of different treatment methods simulated by multi-physics modeling, the treatment goals that need to be achieved in each ENT site under different treatment plans are evaluated;

[0030] The information access unit is further configured to send the treatment effect evaluation index and treatment target information to the storage server for storage.

[0031] Preferably, the information access unit is further configured to obtain an ENT diagnosis and treatment planning project report containing corresponding ENT diagnosis and treatment planning project information transmitted from each terminal, and the application server further comprises an ENT diagnosis and treatment planning project management module for managing the ENT diagnosis and treatment planning project report; the ENT diagnosis and treatment planning project management module comprises:

[0032] The resource evaluation and benefit analysis unit is used to conduct statistical analysis on the diagnosis and treatment resource input information in the reports of each ENT diagnosis and treatment planning project, so as to obtain the declared resource information of each ENT diagnosis and treatment project and the resource benefit evaluation and analysis information of each ENT diagnosis and treatment project;

[0033] An investment data calculation unit, for calculating the planned resource information of each ENT diagnosis and treatment project based on the historical resource investment amount of each ENT part in the ENT diagnosis and treatment planning project report and the declared resource information of each ENT diagnosis and treatment project;

[0034] A project evaluation unit is used to score the priority of each ENT diagnosis and treatment project according to its project characteristics, and add the ENT diagnosis and treatment projects with high priority to the preset diagnosis and treatment project library;

[0035] The project library statistical analysis unit is used to conduct statistical analysis of various diagnosis and treatment indicators in the diagnosis and treatment project library;

[0036] The item library comparison unit is used to compare the current diagnosis and treatment item library with the diagnosis and treatment item library that has added or removed diagnosis and treatment items, and obtain the difference in diagnosis and treatment indicators between the two item libraries based on the comparison results;

[0037] Among them, the information access unit is also used to save the obtained ENT diagnosis and treatment planning project report to the diagnosis and treatment project library preset by the storage server, and send the declared resource information, resource benefit evaluation analysis information and planning resource information to the storage server for storage.

[0038] Preferably, the information access unit is further used to obtain from the storage server the ENT basic information of the corresponding ENT indicators in the verified configuration list, the current status analysis information of the ENT indicators, and the ENT diagnosis and treatment planning project information in the ENT diagnosis and treatment planning project report, then the application server further includes an ENT diagnosis and treatment planning indicator management module; the ENT diagnosis and treatment planning indicator management module is used to perform data analysis on the acquired ENT basic information, current status analysis information, and ENT diagnosis and treatment planning project information, and combine the results of quantum optical imaging, biomechanical artificial intelligence, and multi-physics field modeling to obtain the diagnosis and treatment scale information of each planning indicator of each ENT diagnosis and treatment project;

[0039] The information access unit is further configured to send the diagnosis and treatment scale information of each planning indicator to the storage server for storage.

[0040] Preferably, the information access unit is further used to obtain from the storage server the basic ENT information of the corresponding ENT indicators in the verified configuration list, the current status analysis information of the ENT indicators, the treatment target information required for each ENT part, and the diagnosis and treatment scale information of each planning indicator of each ENT diagnosis and treatment project, then the application server further includes an ENT diagnosis and treatment planning effectiveness management module; the ENT diagnosis and treatment planning effectiveness management module is used to perform data statistical analysis on the acquired ENT basic information, current status analysis information, treatment target information and diagnosis and treatment scale information, and combine the results of quantum optical imaging, biomechanical artificial intelligence and multi-physics field modeling to obtain evaluation and analysis information of each planning indicator of each ENT diagnosis and treatment project, and generate a corresponding optimized treatment plan based on the evaluation and analysis information of each planning indicator;

[0041] The information access unit is further used to send the evaluation and analysis information of the planning indicators of each ENT diagnosis and treatment project to the storage server for storage, and to send the optimized treatment plan to the corresponding terminal for display.

[0042] Preferably, the application server further includes a system report management module, which is used to save current status analysis information, corresponding disease progression prediction information, treatment target information, ENT diagnosis and treatment planning project information, resource benefit evaluation and analysis information, diagnosis and treatment scale information, and evaluation and analysis information in a corresponding outline table, and generate a corresponding diagnosis and treatment planning outline report based on the current status analysis information, corresponding disease progression prediction information, treatment target information, ENT diagnosis and treatment planning project information, resource benefit evaluation and analysis information, diagnosis and treatment scale information, or evaluation and analysis information;

[0043] Among them, the outline table is divided into a current situation analysis table for storing current situation analysis information, a disease prediction table for storing disease evolution prediction information, a treatment target table for storing treatment target information, a diagnosis and treatment planning table for storing ENT diagnosis and treatment planning project information, a resource benefit analysis table for storing resource benefit evaluation and analysis information, a diagnosis and treatment planning indicator management table for storing diagnosis and treatment scale information, and a diagnosis and treatment planning effectiveness management table for storing evaluation and analysis information; the information access unit is also used to send the corresponding outline table and the corresponding diagnosis and treatment planning outline report to the storage server for storage and to the corresponding terminal for display.

[0044] Preferably, the application server further includes a system management module for configuring and managing basic parameters of various tools, and the system management module includes:

[0045] A menu management unit, used to control the display content of the operation menus of different users according to their access permission levels;

[0046] Operation log unit, used to record the user's operation log on system information;

[0047] Form extraction formula calculation unit, used to configure the data extraction formula for each field of the corresponding form;

[0048] Information verification configuration unit, used to configure verification specifications for basic ENT information;

[0049] Form quantity statistics unit, used to count the number of various forms;

[0050] The form basic table configuration unit is used to configure the field order of the corresponding form and the display order of each form, and add enumeration field options for the corresponding form;

[0051] The information collection and task flow unit is used to issue and report data tasks through the information access unit.

[0052] Preferably, it also includes a workbench for accessing and maintaining the application server through a browser.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows: the ENT current status index management module of the application server of this system applies quantum optical imaging technology to extract and analyze ENT images, uses biomechanical artificial intelligence modeling to analyze physiological indicators, and combines multi-physical field modeling to simulate the internal environment, and uses these objective analysis results as the basis for diagnosis, avoiding doctors relying solely on subjective experience and judgment, and improving diagnostic accuracy and objectivity; in the ENT basic information management module, the information access unit receives different configuration sheets, the information matching and replacement unit and the information calibration unit match, calibrate and verify the information to ensure the standardization and accuracy of the ENT basic information, and at the same time the information access unit sends the verified configuration sheet to the storage server for storage, realizing orderly management and Real-time updates change the current situation of chaotic information management and delayed updates; the disease evolution prediction module combines the dynamic monitoring information of quantum optical imaging, biomechanical artificial intelligence models and multi-physical field modeling results to perform statistical analysis on the patient's disease history information, realize the deep fusion of multimodal data, accurately analyze the disease evolution trend, and make up for the lack of data fusion in traditional diagnosis; the treatment plan evaluation module determines the treatment effect evaluation index based on the statistical analysis results of the disease history information and the biomechanical artificial intelligence model, combines the disease evolution prediction information and multi-physical field modeling to simulate the effects of different treatment methods, evaluate the treatment target information, and provide a quantitative prediction basis for treatment plan evaluation, making the formulation of treatment plans more scientific and reasonable, and solving the problem of lack of quantitative prediction tools. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the implementation methods or the description of the prior art. Obviously, the drawings described below are merely exemplary. For ordinary technicians in this field, other implementation drawings can be derived based on the provided drawings without any creative work.

[0055] Figure 1 This is the structural diagram of the intelligent diagnostic assistance system for ENT endoscopy based on AI image recognition. DETAILED DESCRIPTION

[0056] The accompanying drawings are for illustrative purposes only and are not to be construed as limiting this patent;

[0057] In order to better illustrate this embodiment, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product size;

[0058] It is understandable to those skilled in the art that some well-known structures and descriptions thereof may be omitted in the drawings.

[0059] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0060] Example

[0061] Server Configuration

[0062] The application server uses a high-performance physical server equipped with an Intel Xeon processor, 64GB of memory and a 1TB solid-state drive to ensure smooth processing and storage of ENT endoscopic image data and related diagnostic information. The operating system uses Windows Server 2022 and is installed with various development tools and operating environments, such as Python and TensorFlow, for building and running ENT intelligent diagnostic algorithm models.

[0063] The storage server uses NAS (Network Attached Storage) devices with large storage capacity and high reliability. The initial configuration is 10TB of storage space and supports subsequent expansion. It is used to store various types of data received from the terminal, such as ENT basic information configuration sheets, current status analysis information, disease evolution prediction information, etc. RAID 5 technology is used to ensure data security and reliability.

[0064] terminal equipment

[0065] The hospital's ENT department is equipped with multiple high-performance computer terminals and customized client software for doctors to use. The terminal devices are equipped with high-resolution displays so that doctors can clearly view ENT endoscopic images and related diagnostic information. At the same time, mobile terminal devices are equipped in the endoscopy examination room to facilitate medical staff to transmit endoscopic images and related data to the application server in real time during the examination.

[0066] An intelligent ENT endoscopy diagnostic assistance system based on AI image recognition includes an application server, a storage server that provides application information to the application server and stores information processed by the application server, and a terminal for accessing the application server. The application server includes an ENT basic information management module, and the ENT basic information management module also includes:

[0067] The information access unit is used to receive configuration sheets containing corresponding basic ENT information transmitted by each terminal. Configuration sheets are divided into standard configuration sheets from different sources and pending configuration sheets. Standard configuration sheets are configuration sheets pre-set by the user or approved by the user, while pending configuration sheets are configuration sheets that have not been approved by the user. Basic ENT information includes images of the ENT area and patient body function indicators obtained using quantum optical imaging technology.

[0068] An information matching and replacement unit is used to match the standard ENT basic information in the standard configuration sheet with the corresponding ENT basic information to be matched in the corresponding configuration sheet to be matched, and replace the corresponding ENT basic information to be matched in the configuration sheet to be matched with the corresponding standard ENT basic information according to the matching situation;

[0069] The information calibration unit is used to verify the information in the corresponding configuration sheet after matching, and calibrate the basic ENT information in the configuration sheet according to the verification result;

[0070] The information access unit is also used to send the configuration form after information verification to the storage server for storage;

[0071] The information calibration unit includes:

[0072] The configuration sheet acquisition subunit is used to acquire the configuration sheet that needs information verification;

[0073] The verification object generation subunit is used to generate the corresponding verification object according to the name and table characteristics of the obtained configuration form;

[0074] The inspection task construction unit is used to establish corresponding relationships between different verification objects and corresponding verification specifications to construct corresponding verification tasks; the verification specifications are set in advance;

[0075] The inspection sub-unit is used to perform verification tasks and verify the corresponding verification objects according to the verification specifications; when it is detected that the basic ENT information in the configuration sheet corresponding to the verification object does not meet the corresponding verification specifications, the basic ENT information that does not meet the verification specifications in the configuration sheet is marked, and the marked ENT basic information is calibrated according to the user's modification action.

[0076] The information access unit develops a socket-based communication program to monitor the data port sent by the terminal device. When receiving the configuration form transmitted by the terminal, it performs preliminary analysis based on the format and content of the configuration form to distinguish between standard configuration forms and configuration forms to be matched. For example, the standard configuration form follows the unified format preset by the system and contains the patient's basic information and images of the ear, nose and throat area. It is obtained through quantum optical imaging technology with an image resolution of 3072×2048 pixels, ensuring the clarity and details of the image, as well as complete information on physical function indicators such as blood oxygen saturation and blood pressure. The configuration form to be matched may have problems with information integrity or accuracy, such as partial missing images or incorrect recording of physical function indicators.

[0077] The information matching and replacement unit uses image recognition algorithms and data matching algorithms to compare and match the standard ENT basic information in the standard configuration sheet, including image features and standard ranges of body function indicators, with the corresponding information in the configuration sheet to be matched. For example, for images of the ENT area, the convolutional neural network (CNN) algorithm is used to extract the key feature points of the image and compare the similarity with the image features in the standard configuration sheet; for body function indicators, a simple numerical range matching is adopted. Based on the matching results, the information that does not meet the standards in the configuration sheet to be matched is replaced with the corresponding standard information in the standard configuration sheet.

[0078] The configuration order acquisition subunit regularly grabs the configuration orders to be calibrated from the received configuration order queue to ensure that all configuration orders can be processed in a timely manner.

[0079] The verification object generation subunit uses regular expressions and metadata parsing technology based on the name of the configuration form, such as Patient Zhang San's ENT examination configuration form-20241201, and table characteristics, such as the type and number of fields contained in the table, to determine the key verification objects in the configuration form, such as the key feature areas of the ENT image, the key parameters of the body function indicators, etc.

[0080] The inspection task construction unit associates the generated verification object with the preset verification specifications. For example, for the verification specifications of ENT images, it is stipulated that the brightness range of the image should be between 100-200, and the contrast should be greater than 0.5, etc.; for physical function indicators, it is stipulated that the blood oxygen saturation should be between 95%-100%, etc. According to these verification specifications, the corresponding inspection tasks are constructed, and each verification object corresponds to one or more inspection tasks.

[0081] The inspection sub-unit performs the inspection task and verifies the verification object item by item. If it is found that the basic ENT information in the configuration sheet does not meet the verification specifications, for example, the brightness of the image is lower than 100 or the body function indicators exceed the prescribed range, the non-compliant information will be marked in the configuration sheet, such as using a red frame to mark the image or using a special color to mark the indicators in the table, and the user's modification actions will be recorded at the same time. When the doctor corrects the marked information on the terminal, the information in the configuration sheet is calibrated according to the user's modification operation and updated to the correct information. The calibrated configuration sheet is sent to the storage server through the information access unit for storage.

[0082] The application server further includes an ENT current status indicator management module, which is used to:

[0083] Quantum optical imaging technology is used to extract and analyze features of the ENT images obtained from the verified configuration list;

[0084] Use biomechanical artificial intelligence to model and analyze patients' physiological indicators, and combine multi-physics field modeling to simulate the internal environment of the ear, nose and throat;

[0085] Performing statistical analysis on the data of each ENT indicator based on the above analysis results, and generating current status analysis information of each ENT indicator based on the statistical analysis results;

[0086] The information access unit is further configured to send the current status analysis information of each ENT indicator to the storage server for storage.

[0087] The ENT current status indicator management module uses quantum optical imaging processing software on the server to extract and analyze features from the ENT images received in the verified configuration sheet. Image processing algorithms, such as edge detection and texture analysis, are used to extract key features from the images, such as the shape, size, and color of the lesion area. Simultaneously, a biomechanical artificial intelligence model is used to model and analyze the patient's ENT internal environment based on the patient's physiological indicators, such as age, gender, and body mass index, combined with the anatomical structure and physiological function of the ENT. For example, by simulating pressure changes in the ear and airflow distribution in the nasal cavity, the module predicts possible lesion risk areas. The image analysis results and biomechanical model analysis results are then combined with the multi-physics modeling results. Multi-physics modeling integrates the coupling effects of multiple physical fields in the ENT area, such as acoustics, thermals, and fluid mechanics, to further improve the accuracy of the assessment of the current ENT condition. Finally, statistical analysis is performed on the above comprehensive analysis results to generate current status analysis information for various ENT indicators, such as the degree of ear lesions, nasal patency, and pharyngitis index. This information is then sent to the storage server for storage via the information access unit.

[0088] The application server further includes a disease progression prediction module, which is used to:

[0089] Conduct statistical analysis on the patient's medical history information in the verified configuration form;

[0090] Combining dynamic monitoring information from quantum optical imaging, biomechanical artificial intelligence models, and multi-physics field modeling results, we can obtain predictions about the evolution of disease conditions in various ENT areas based on statistical analysis results.

[0091] The information access unit is further configured to send the corresponding disease progression prediction information to the storage server for storage.

[0092] The disease evolution prediction module collects and organizes the patient's medical history information in the verified configuration list saved in the storage server, and uses data mining algorithms, such as time series analysis, to analyze the changing trends of the disease at different time points. At the same time, it combines the dynamic monitoring information of quantum optical imaging, such as the image sequences obtained from multiple consecutive endoscopic examinations, biomechanical artificial intelligence models, and the results of multi-physical field modeling. For example, based on the model's prediction of the impact of changes in the internal environment of the ear, nose, and throat on the development of the disease, a disease evolution prediction model is constructed. The model is used to predict the evolution of the disease in each part of the ear, nose, and throat in the future, such as 1 month, 3 months, and half a year. Disease evolution prediction information is generated, including the possibility of worsening or alleviating the disease, possible new symptoms, etc., and stored in the storage server.

[0093] The application server further includes a treatment plan evaluation module, which is used to:

[0094] Based on the statistical analysis results of the disease history information and the biomechanical artificial intelligence model, the disease development trend of each ENT part is obtained, and the corresponding treatment effect evaluation indicators for each ENT part are determined;

[0095] Based on the predicted information on the disease evolution of each ENT site and the effects of different treatment methods simulated by multi-physics modeling, the treatment goals that need to be achieved in each ENT site under different treatment plans are evaluated;

[0096] The information access unit is further configured to send the treatment effect evaluation index and treatment target information to the storage server for storage.

[0097] The treatment plan evaluation module predicts the development trend of the disease in each part of the ear, nose and throat based on the statistical analysis results of the historical disease information in the storage server and the biomechanical artificial intelligence model. For example, the analysis found that the sinusitis of a patient showed a trend of worsening year by year. According to this trend, the corresponding treatment effect evaluation indicators of each part of the ear, nose and throat were determined, such as the degree of improvement in nasal patency after sinusitis treatment, the degree of decrease in inflammatory indicators, etc. At the same time, based on the disease evolution prediction information and multi-physical field modeling, different treatment methods such as drug therapy, surgical treatment, physical therapy, etc. were simulated. By comparing the expected achievement of each evaluation indicator under different treatment plans, the advantages and disadvantages of different treatment plans are evaluated, and treatment effect evaluation indicators and treatment target information are generated and sent to the storage server for storage.

[0098] The information access unit is further configured to obtain an ENT diagnosis and treatment planning project report containing corresponding ENT diagnosis and treatment planning project information transmitted from each terminal, and the application server further comprises an ENT diagnosis and treatment planning project management module for managing the ENT diagnosis and treatment planning project report; the ENT diagnosis and treatment planning project management module comprises:

[0099] The resource evaluation and benefit analysis unit is used to conduct statistical analysis on the diagnosis and treatment resource input information in the reports of each ENT diagnosis and treatment planning project, so as to obtain the declared resource information of each ENT diagnosis and treatment project and the resource benefit evaluation and analysis information of each ENT diagnosis and treatment project;

[0100] An investment data calculation unit, for calculating the planned resource information of each ENT diagnosis and treatment project based on the historical resource investment amount of each ENT part in the ENT diagnosis and treatment planning project report and the declared resource information of each ENT diagnosis and treatment project;

[0101] A project evaluation unit is used to score the priority of each ENT diagnosis and treatment project according to its project characteristics, and add the ENT diagnosis and treatment projects with high priority to the preset diagnosis and treatment project library;

[0102] The project library statistical analysis unit is used to conduct statistical analysis of various diagnosis and treatment indicators in the diagnosis and treatment project library;

[0103] The item library comparison unit is used to compare the current diagnosis and treatment item library with the diagnosis and treatment item library that has added or removed diagnosis and treatment items, and obtain the difference in diagnosis and treatment indicators between the two item libraries based on the comparison results;

[0104] Among them, the information access unit is also used to save the obtained ENT diagnosis and treatment planning project report to the diagnosis and treatment project library preset by the storage server, and send the declared resource information, resource benefit evaluation analysis information and planning resource information to the storage server for storage.

[0105] The resource assessment and benefit analysis unit receives the ENT diagnosis and treatment planning project report transmitted by the terminal. The report contains information such as the name of the diagnosis and treatment project, the expected number of equipment to be invested, labor costs, time period, etc. The diagnosis and treatment resource investment information in these reports is summarized and analyzed using data statistical analysis algorithms to calculate the declared resource information of each ENT diagnosis and treatment project, such as the expected total funds required, equipment procurement list, etc., as well as resource benefit assessment and analysis information, such as input-output ratio, resource utilization rate, etc.

[0106] The investment data calculation unit uses the cost-benefit analysis model and budget preparation algorithm to calculate the planned resource information of each ENT diagnosis and treatment project, including a reasonable capital budget, equipment configuration plan, etc., based on the historical resource investment amounts of each ENT part in the ENT diagnosis and treatment planning project report, such as the actual expenditures of similar projects in the past on equipment procurement, labor costs, etc., and the declared resource information of each ENT diagnosis and treatment project.

[0107] The project evaluation unit establishes a project evaluation index system, scores and evaluates each project based on its project characteristics, such as project difficulty, innovation, and expected efficacy, determines the priority of the project, and adds high-priority ENT diagnosis and treatment projects to the preset diagnosis and treatment project library to facilitate management and implementation.

[0108] The project library statistical analysis unit regularly conducts statistical analysis on various diagnosis and treatment indicators of the projects in the diagnosis and treatment project library, such as the number of projects, type distribution, expected treatment effects, etc., and generates statistical analysis reports to provide data support for the hospital's diagnosis and treatment planning decisions.

[0109] When the diagnosis and treatment project library changes, such as adding or removing diagnosis and treatment projects, the project library comparison unit compares the current diagnosis and treatment project library with the previous version, and obtains the differences in diagnosis and treatment indicators between the two project libraries through data comparison algorithms, such as the characteristics of the newly added projects, the reasons for removing projects, etc., so as to adjust the diagnosis and treatment planning strategy in time. At the same time, the information access unit saves the obtained ENT diagnosis and treatment planning project report to the diagnosis and treatment project library preset by the storage server, and sends the declared resource information, resource benefit evaluation analysis information and planning resource information to the storage server for storage.

[0110] The information access unit is further used to obtain from the storage server the ENT basic information of the corresponding ENT indicators in the verified configuration list, the current status analysis information of the ENT indicators, and the ENT diagnosis and treatment planning project information in the ENT diagnosis and treatment planning project report, then the application server further includes an ENT diagnosis and treatment planning indicator management module; the ENT diagnosis and treatment planning indicator management module is used to perform data analysis on the acquired ENT basic information, current status analysis information, and ENT diagnosis and treatment planning project information, and combine the results of quantum optical imaging, biomechanical artificial intelligence, and multi-physics field modeling to obtain the diagnosis and treatment scale information of each planning indicator of each ENT diagnosis and treatment project;

[0111] The information access unit is further configured to send the diagnosis and treatment scale information of each planning indicator to the storage server for storage.

[0112] The information access unit obtains the basic ENT information of the corresponding ENT indicators in the verified configuration list, the current status analysis information and the ENT diagnosis and treatment planning project information in the ENT diagnosis and treatment planning project report from the storage server. The ENT diagnosis and treatment planning indicator management module uses data analysis algorithms, combined with the results of quantum optical imaging, biomechanical artificial intelligence and multi-physics field modeling, to conduct a comprehensive analysis of the acquired data. For example, based on the degree of lesions in the basic ENT information and the development trend in the current status analysis information, as well as the resource input in the diagnosis and treatment planning project information, it calculates the various planning indicators of each ENT diagnosis and treatment project, such as the diagnosis and treatment scale information of the diagnosis accuracy improvement target and the treatment cycle shortening target, that is, the expected number and scope of diagnosis and treatment to be achieved, and sends the diagnosis and treatment scale information of each planning indicator to the storage server for storage through the information access unit.

[0113] The information access unit is further used to obtain from the storage server the basic ENT information of the corresponding ENT indicators in the verified configuration list, the current status analysis information of the ENT indicators, the treatment target information required for each ENT part, and the diagnosis and treatment scale information of each planning indicator of each ENT diagnosis and treatment project, then the application server further includes an ENT diagnosis and treatment planning effectiveness management module; the ENT diagnosis and treatment planning effectiveness management module is used to perform data statistical analysis on the acquired ENT basic information, current status analysis information, treatment target information and diagnosis and treatment scale information, and combine the results of quantum optical imaging, biomechanical artificial intelligence and multi-physics field modeling to obtain evaluation and analysis information of each planning indicator of each ENT diagnosis and treatment project, and generate a corresponding optimized treatment plan based on the evaluation and analysis information of each planning indicator;

[0114] The information access unit is further used to send the evaluation and analysis information of the planning indicators of each ENT diagnosis and treatment project to the storage server for storage, and to send the optimized treatment plan to the corresponding terminal for display.

[0115] The information access unit obtains the basic ENT information of the corresponding ENT indicators in the verified configuration list, current status analysis information, treatment target information required for each ENT part, and treatment scale information of each planning indicator of each ENT diagnosis and treatment project from the storage server. The ENT diagnosis and treatment planning effectiveness management module performs data statistical analysis on these data, and combines the results of quantum optical imaging, biomechanical artificial intelligence and multi-physics field modeling to evaluate the achievement of various planning indicators of each ENT diagnosis and treatment project, such as comparing the actual diagnostic accuracy with the planning target, analyzing whether the treatment cycle is effectively shortened, etc., to generate corresponding evaluation and analysis information, and generate optimized treatment plans based on the evaluation and analysis results, such as adjusting drug dosage, changing the combination of treatment means, etc. The evaluation and analysis information of various planning indicators of each ENT diagnosis and treatment project is sent to the storage server for storage through the information access unit, and the optimized treatment plan is sent to the corresponding terminal for display for the doctor's reference and implementation.

[0116] The application server further includes a system report management module, which is used to save current status analysis information, corresponding disease progression prediction information, treatment target information, ENT diagnosis and treatment planning project information, resource benefit evaluation and analysis information, diagnosis and treatment scale information, and evaluation and analysis information in a corresponding outline table, and generate a corresponding diagnosis and treatment planning outline report based on the current status analysis information, corresponding disease progression prediction information, treatment target information, ENT diagnosis and treatment planning project information, resource benefit evaluation and analysis information, diagnosis and treatment scale information, or evaluation and analysis information;

[0117] Among them, the outline table is divided into a current situation analysis table for storing current situation analysis information, a disease prediction table for storing disease evolution prediction information, a treatment target table for storing treatment target information, a diagnosis and treatment planning table for storing ENT diagnosis and treatment planning project information, a resource benefit analysis table for storing resource benefit evaluation and analysis information, a diagnosis and treatment planning indicator management table for storing diagnosis and treatment scale information, and a diagnosis and treatment planning effectiveness management table for storing evaluation and analysis information; the information access unit is also used to send the corresponding outline table and the corresponding diagnosis and treatment planning outline report to the storage server for storage and to the corresponding terminal for display.

[0118] The system report management module stores the current status analysis information generated by the ENT current status indicator management module, the disease evolution prediction information generated by the disease evolution prediction module, the treatment target information generated by the treatment plan evaluation module, the ENT diagnosis and treatment plan project information generated by the ENT diagnosis and treatment plan project management module, the resource benefit evaluation analysis information, the diagnosis and treatment scale information generated by the ENT diagnosis and treatment plan indicator management module, and the evaluation and analysis information generated by the ENT diagnosis and treatment plan effectiveness management module in corresponding outline tables. For example, the current status analysis table stores current status analysis information, including the specific values ​​and evaluation results of each ENT indicator; the disease prediction table stores disease evolution prediction information, such as possible future disease development trends and probabilities. Based on the data in these outline tables, the report generation tool generates the corresponding diagnosis and treatment plan outline report. The report content covers multiple aspects such as an overview of the patient's current ENT condition, disease prediction, treatment goals, diagnosis and treatment plan project details, resource benefit analysis, diagnosis and treatment scale, and plan effectiveness evaluation. The information access unit sends the corresponding outline table and diagnosis and treatment plan outline report to the storage server for storage and sends it to the corresponding terminal for display, allowing hospital management and doctors to fully understand the ENT diagnosis and treatment plan.

[0119] The application server also includes a system management module for configuring and managing basic parameters of various tools. The system management module includes:

[0120] A menu management unit, used to control the display content of the operation menus of different users according to their access permission levels;

[0121] Operation log unit, used to record the user's operation log on system information;

[0122] Form extraction formula calculation unit, used to configure the data extraction formula for each field of the corresponding form;

[0123] Information verification configuration unit, used to configure verification specifications for basic ENT information;

[0124] Form quantity statistics unit, used to count the number of various types of forms;

[0125] The form basic table configuration unit is used to configure the field order of the corresponding form and the display order of each form, and add enumeration field options for the corresponding form;

[0126] The information collection and task flow unit is used to issue and report data tasks through the information access unit.

[0127] The menu management unit configures the corresponding operation menu display content in the system background according to the authority levels of different hospital departments and medical staff, such as doctors, nurses, administrators, etc. For example, doctors can view detailed diagnostic information, treatment plans, and disease predictions, while nurses mainly view nursing-related information and tasks. Administrators have comprehensive management authority over the system and can achieve precise control of the operation menus of different users through customized authority management software.

[0128] The operation log unit uses the log recording component to record all user operations on system information, including login time, viewed diagnostic reports, modified treatment plans, etc. The log is stored in the storage server in the form of text files or database tables to facilitate subsequent queries and audits.

[0129] The form extraction formula calculation unit configures data extraction formulas for various forms in the system, such as patient information forms and diagnosis result forms. For example, in the patient information form, set the formula to extract the patient's age, gender and other basic information. In the diagnosis result form, set the formula to extract the pathological indicators of various parts of the ear, nose and throat, etc., so that the required data can be obtained quickly and accurately during data statistics and analysis.

[0130] The information verification configuration unit configures verification specifications for basic ENT information according to medical industry standards and internal hospital regulations. For example, it stipulates that the patient's name must be a string and the length must not exceed 20 characters, and the format of ENT images must be JPEG or TIFF, etc. By writing verification rule scripts, the input ENT basic information is automatically verified to ensure the accuracy and completeness of the data.

[0131] The form quantity statistics unit traverses various forms in the system, classifies and counts them according to the type of form, such as patient registration form, diagnosis record form, treatment plan form, etc., and records the number of each form in order to understand the form usage and business volume of the system.

[0132] The form basic table configuration unit optimizes the field order and display order of the forms in the system to make them more in line with user operating habits and business processes. For example, the patient basic information field is placed at the front of the form, and the diagnosis result and treatment plan fields are placed at the back. At the same time, enumeration field options are added to the form, such as providing common ear, nose and throat disease options in the disease type field, which makes it easier for users to quickly select and fill in.

[0133] The information collection and task flow unit formulates data collection tasks through the information access unit, such as regularly collecting patients' medical records from other information systems of the hospital, such as the HIS system, and issuing data reporting tasks to the terminal, such as requiring doctors to report the diagnosis results to the system in a timely manner after completing the diagnosis. At the same time, it monitors the execution of tasks to ensure timely and accurate collection and reporting of data.

[0134] It also includes a workbench for accessing and maintaining the application server through a browser.

[0135] See also Figure 1 When a patient undergoes an endoscopic examination in the ENT department of a hospital, medical staff use mobile terminal devices to collect the patient's ENT endoscopic images (with the help of quantum optical imaging technology) and physical function indicators, and fill out a configuration form containing the patient's basic information, and send the configuration form to the application server via a wireless network.

[0136] After the information access unit of the application server receives the configuration form, it determines that it is a configuration form to be matched. The information matching and replacement unit matches the basic ENT information in the configuration form to be matched with the standard information in the standard configuration form. It is found that the recording format of the blood pressure value in the patient's physical function indicators is incorrect, so it is replaced with the standard format. The information calibration unit then verifies the calibrated configuration form and finds that the brightness of the ENT image is slightly low. After marking the problem, the doctor adjusts the brightness of the image on the terminal. The calibration unit updates the image information in the configuration form and sends the configuration form to the storage server for storage through the information access unit.

[0137] The ENT current status indicator management module obtains the configuration list from the storage server, extracts and analyzes the features of the ENT images, and uses biomechanical artificial intelligence and multi-physics field modeling to conduct a comprehensive analysis of the patient's physiological indicators to generate current status analysis information, such as mild inflammation in the patient's nasal cavity and congestion of blood vessels in the throat, and stores it in the storage server.

[0138] The disease evolution prediction module collects the patient's past medical history information, combines it with current condition analysis information and dynamic monitoring information from quantum optical imaging, such as image sequences from multiple previous examinations, to predict that the patient's nasal inflammation may worsen in the next three months, with worsening symptoms such as nasal congestion and runny nose, and stores the disease evolution prediction information.

[0139] The treatment plan evaluation module determines that the evaluation indicators for nasal inflammation treatment are the degree of improvement in nasal patency and the degree of decrease in inflammatory indicators based on the statistical analysis results of historical disease information and the biomechanical model. It simulates the effects of different drug treatment plans based on disease evolution prediction information and multi-physical field modeling. The evaluation concludes that the use of a new nasal spray treatment plan is more effective in improving nasal patency and reducing inflammatory indicators. The treatment effect evaluation indicators and treatment target information are generated and stored.

[0140] After viewing the patient's relevant information on the terminal, the doctor formulates a treatment plan based on the treatment plan evaluation results provided by the system, fills out the ENT diagnosis and treatment planning project report, and sends it to the application server through the terminal.

[0141] The resource evaluation and benefit analysis unit in the ENT diagnosis and treatment planning project management module analyzes the report, calculates the project application resource information and resource benefit evaluation and analysis information, the investment data calculation unit calculates the planning resource information based on the historical resource investment amount and the application resource information, the project evaluation unit gives the project a priority score and adds it to the diagnosis and treatment project library, the project library statistical analysis unit and the project library comparison unit perform statistical analysis and comparison operations respectively, and the information access unit stores the relevant data on the storage server.

[0142] The ENT diagnosis and treatment planning indicator management module obtains the required data from the storage server, and combines the results of quantum optical imaging, biomechanical artificial intelligence and multi-physics field modeling to calculate the diagnosis and treatment scale information of the diagnosis and treatment project, such as the expected number of similar cases that need to be treated in the next six months and the corresponding resource investment scale, and stores it.

[0143] After obtaining relevant data, the ENT diagnosis and treatment planning effectiveness management module conducts data statistical analysis and evaluates the achievement of each planning indicator. It finds that the nasal patency improvement indicator has not met expectations, and generates an optimized treatment plan, such as adjusting the frequency of use of nasal sprays. The evaluation and analysis information and optimized treatment plan are sent to the storage server and the corresponding terminal.

[0144] The system report management module saves the information generated by each of the above links in the corresponding outline table and generates a diagnosis and treatment plan outline report. The information access unit stores and sends it to the terminal for display.

[0145] During the entire system operation process, each unit in the system management module performs operations such as menu management, operation log recording, form extraction formula configuration, information verification configuration, form quantity statistics, form basic table configuration, information collection and task process management to ensure the normal operation of the system and accurate and effective management of data.

[0146] The same or similar reference numerals correspond to the same or similar components;

[0147] The terms used in the drawings to describe positional relationships are for illustrative purposes only and should not be construed as limiting this patent;

[0148] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in the field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to enumerate all the implementation methods here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. An intelligent diagnostic assistance system for ENT endoscopy based on AI image recognition, characterized by: The system comprises an application server, a storage server that provides application information to the application server and stores information processed by the application server, and a terminal for accessing the application server. The application server comprises an ENT basic information management module, and the ENT basic information management module further comprises: The information access unit is used to receive configuration sheets containing corresponding basic ENT information transmitted by each terminal. Configuration sheets are divided into standard configuration sheets from different sources and pending configuration sheets. Standard configuration sheets are configuration sheets pre-set by the user or approved by the user, while pending configuration sheets are configuration sheets that have not been approved by the user. Basic ENT information includes images of the ENT area and patient body function indicators obtained using quantum optical imaging technology. An information matching and replacement unit is used to match the standard ENT basic information in the standard configuration sheet with the corresponding ENT basic information to be matched in the corresponding configuration sheet to be matched, and replace the corresponding ENT basic information to be matched in the configuration sheet to be matched with the corresponding standard ENT basic information according to the matching situation; The information calibration unit is used to verify the information in the corresponding configuration sheet after matching, and calibrate the basic ENT information in the configuration sheet according to the verification result; The information access unit is also used to send the configuration form after information verification to the storage server for storage; The information calibration unit includes: The configuration sheet acquisition subunit is used to acquire the configuration sheet that needs information verification; The verification object generation subunit is used to generate the corresponding verification object according to the name and table characteristics of the obtained configuration form; The inspection task construction unit is used to establish corresponding relationships between different verification objects and corresponding verification specifications to construct corresponding verification tasks; the verification specifications are set in advance; The inspection sub-unit is used to perform verification tasks and verify the corresponding verification objects according to the verification specifications; when it is detected that the basic ENT information in the configuration sheet corresponding to the verification object does not meet the corresponding verification specifications, the basic ENT information that does not meet the verification specifications in the configuration sheet is marked, and the marked ENT basic information is calibrated according to the user's modification action.

2. The assistance system according to claim 1, characterized in that The application server further includes an ENT current status indicator management module, which is used to: Quantum optical imaging technology is used to extract and analyze features of the ENT images obtained from the verified configuration list; Use biomechanical artificial intelligence to model and analyze patients' physiological indicators, and combine multi-physics field modeling to simulate the internal environment of the ear, nose and throat; Performing statistical analysis on the data of each ENT indicator based on the above analysis results, and generating current status analysis information of each ENT indicator based on the statistical analysis results; The information access unit is further configured to send the current status analysis information of each ENT indicator to the storage server for storage.

3. The auxiliary system according to claim 2, characterized in that The application server further includes a disease progression prediction module, which is used to: Conduct statistical analysis on the patient's medical history information in the verified configuration form; Combining dynamic monitoring information from quantum optical imaging, biomechanical artificial intelligence models, and multi-physics field modeling results, we can obtain predictions about the evolution of disease conditions in various ENT areas based on statistical analysis results. The information access unit is further configured to send the corresponding disease progression prediction information to the storage server for storage.

4. The auxiliary system according to claim 3, characterized in that The application server further includes a treatment plan evaluation module, which is used to: Based on the statistical analysis results of the disease history information and the biomechanical artificial intelligence model, the disease development trend of each ENT part is obtained, and the corresponding treatment effect evaluation indicators for each ENT part are determined; Based on the predicted information on the disease evolution of each ENT site and the effects of different treatment methods simulated by multi-physics modeling, the treatment goals that need to be achieved in each ENT site under different treatment plans are evaluated; The information access unit is further configured to send the treatment effect evaluation index and treatment target information to the storage server for storage.

5. The assistance system according to claim 4, characterized in that The information access unit is further configured to obtain an ENT diagnosis and treatment planning project report containing corresponding ENT diagnosis and treatment planning project information transmitted from each terminal, and the application server further comprises an ENT diagnosis and treatment planning project management module for managing the ENT diagnosis and treatment planning project report; The ENT diagnosis and treatment planning project management module includes: The resource evaluation and benefit analysis unit is used to conduct statistical analysis on the diagnosis and treatment resource input information in the reports of each ENT diagnosis and treatment planning project, so as to obtain the declared resource information of each ENT diagnosis and treatment project and the resource benefit evaluation and analysis information of each ENT diagnosis and treatment project; An investment data calculation unit, for calculating the planned resource information of each ENT diagnosis and treatment project based on the historical resource investment amount of each ENT part in the ENT diagnosis and treatment planning project report and the declared resource information of each ENT diagnosis and treatment project; A project evaluation unit is used to score the priority of each ENT diagnosis and treatment project according to its project characteristics, and add the ENT diagnosis and treatment projects with high priority to the preset diagnosis and treatment project library; The project library statistical analysis unit is used to conduct statistical analysis of various diagnosis and treatment indicators in the diagnosis and treatment project library; The item library comparison unit is used to compare the current diagnosis and treatment item library with the diagnosis and treatment item library that has added or removed diagnosis and treatment items, and obtain the difference in diagnosis and treatment indicators between the two item libraries based on the comparison results; Among them, the information access unit is also used to save the obtained ENT diagnosis and treatment planning project report to the diagnosis and treatment project library preset by the storage server, and send the declared resource information, resource benefit evaluation analysis information and planning resource information to the storage server for storage.

6. The assistance system according to claim 5, characterized in that The information access unit is further used to obtain from the storage server the ENT basic information of the corresponding ENT indicators in the verified configuration list, the current status analysis information of the ENT indicators, and the ENT diagnosis and treatment planning project information in the ENT diagnosis and treatment planning project report, then the application server further includes an ENT diagnosis and treatment planning indicator management module; the ENT diagnosis and treatment planning indicator management module is used to perform data analysis on the acquired ENT basic information, current status analysis information, and ENT diagnosis and treatment planning project information, and combine the results of quantum optical imaging, biomechanical artificial intelligence, and multi-physics field modeling to obtain the diagnosis and treatment scale information of each planning indicator of each ENT diagnosis and treatment project; The information access unit is further configured to send the diagnosis and treatment scale information of each planning indicator to the storage server for storage.

7. The assistance system according to claim 6, characterized in that The information access unit is further used to obtain from the storage server the basic ENT information of the corresponding ENT indicators in the verified configuration list, the current status analysis information of the ENT indicators, the treatment target information required for each ENT part, and the diagnosis and treatment scale information of each planning indicator of each ENT diagnosis and treatment project, then the application server further includes an ENT diagnosis and treatment planning effectiveness management module; the ENT diagnosis and treatment planning effectiveness management module is used to perform data statistical analysis on the acquired ENT basic information, current status analysis information, treatment target information and diagnosis and treatment scale information, and combine the results of quantum optical imaging, biomechanical artificial intelligence and multi-physics field modeling to obtain evaluation and analysis information of each planning indicator of each ENT diagnosis and treatment project, and generate a corresponding optimized treatment plan based on the evaluation and analysis information of each planning indicator; The information access unit is further used to send the evaluation and analysis information of the planning indicators of each ENT diagnosis and treatment project to the storage server for storage, and to send the optimized treatment plan to the corresponding terminal for display.

8. The assistance system according to claim 7, characterized in that The application server further includes a system report management module, which is used to save current status analysis information, corresponding disease progression prediction information, treatment target information, ENT diagnosis and treatment planning project information, resource benefit evaluation and analysis information, diagnosis and treatment scale information, and evaluation and analysis information in a corresponding outline table, and generate a corresponding diagnosis and treatment planning outline report based on the current status analysis information, corresponding disease progression prediction information, treatment target information, ENT diagnosis and treatment planning project information, resource benefit evaluation and analysis information, diagnosis and treatment scale information, or evaluation and analysis information; Among them, the outline table is divided into a current situation analysis table for storing current situation analysis information, a disease prediction table for storing disease evolution prediction information, a treatment target table for storing treatment target information, a diagnosis and treatment planning table for storing ENT diagnosis and treatment planning project information, a resource benefit analysis table for storing resource benefit evaluation and analysis information, a diagnosis and treatment planning indicator management table for storing diagnosis and treatment scale information, and a diagnosis and treatment planning effectiveness management table for storing evaluation and analysis information; the information access unit is also used to send the corresponding outline table and the corresponding diagnosis and treatment planning outline report to the storage server for storage and to the corresponding terminal for display.

9. The assistance system according to claim 8, characterized in that The application server also includes a system management module for configuring and managing basic parameters of various tools. The system management module includes: A menu management unit, used to control the display content of the operation menus of different users according to their access permission levels; Operation log unit, used to record the user's operation log on system information; Form extraction formula calculation unit, used to configure the data extraction formula for each field of the corresponding form; Information verification configuration unit, used to configure verification specifications for basic ENT information; Form quantity statistics unit, used to count the number of various forms; The form basic table configuration unit is used to configure the field order of the corresponding form and the display order of each form, and add enumeration field options for the corresponding form; The information collection and task flow unit is used to issue and report data tasks through the information access unit.

10. The assistance system according to any one of claims 1 to 9, characterized in that: It also includes a workbench for accessing and maintaining the application server through a browser.

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