Artificial intelligence intervention system applied to TAO patient

Abstract

The invention relates to the technical field of TAO, in particular to an artificial intelligence intervention system applied to TAO patients, which comprises a management module used for uploading patient state information in real time and storing the patient state information; the evaluation module is used for evaluating the life quality of the patient; the analysis module is used for traversing the patient state information stored in the management module and analyzing the TAO rehabilitation process of the patient by applying the patient state information; according to the method, the state information of the patient is uploaded in real time, the life quality of the patient is evaluated, a monitoring effect with higher real-time performance is brought to the TAO patient, the disease rehabilitation effect of the patient is managed at higher frequency, the rehabilitation effect of the patient is evaluated by further setting a mode of a to-be-intervened level, and the risk of the patient is reduced. And meanwhile, follow-up treatment scheme planning reference is provided for medical staff according to the to-be-intervened level, so that the TAO patient is further maintained, and the purpose of quicker rehabilitation or disease development control is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of TAO, and specifically relates to an artificial intelligence intervention system for TAO patients. Background Art

[0002] Thyroid-associated ophthalmopathy (TAO) is an autoimmune orbital disease closely related to thyroid diseases. It often occurs secondary to abnormal thyroid function such as Graves' disease.

[0003] Clinically, patients may present with manifestations such as eyelid retraction, exophthalmos, diplopia, and limited extraocular muscle movement, which not only affect appearance but may also lead to problems such as decreased vision. The severity of the condition varies, and its pathogenesis involves multiple immune factors and changes in orbital tissues.

[0004] In terms of treatment, multidisciplinary cooperation is required. Depending on the condition, drugs are used to control thyroid function, glucocorticoids are used for anti-inflammatory purposes, and immunosuppressants are used to regulate the immune system. Some severely affected patients may also require surgical intervention to improve eye function and appearance.

[0005] Currently, for the treatment of TAO patients, long-term monitoring of patients cannot be carried out. Thus, uncertain factors such as poor living habits and compliance with drug intake often reduce the treatment effectiveness, thereby affecting the control of the condition and the rehabilitation effect of TAO patients. Summary of the Invention

[0006] In view of the above-mentioned drawbacks of the prior art, the present invention provides an artificial intelligence intervention system for TAO patients, which solves the technical problems raised in the above background art.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0008] An artificial intelligence intervention system for TAO patients, comprising:

[0009] A management module for uploading patient status information in real time and storing the patient status information; an evaluation module for evaluating the quality of life of the patient; an analysis module for traversing the patient status information stored in the management module and analyzing the TAO rehabilitation process of the patient using the patient status information; a visualization module for receiving in real time the patient quality of life evaluation results in the evaluation module and the patient TAO rehabilitation process analysis results in the analysis module, and creating a trend graph of the change in the evaluation results and a trend graph of the change in the analysis results based on the evaluation results and the analysis results; a determination module for reading the trend graphs in the visualization module and determining the patient's intervention level to be intervened based on the trend graphs; an interaction module for receiving the determination results of the intervention level to be intervened for the patient in the determination module and feeding back the determination results to medical staff.

[0010] Further, the patient status information in the management module is manually uploaded by the patient or medical staff. The patient status information includes: historical medication information, historical clinical manifestation information, historical smoking information, and family genetic information. A sub-module is set under the management module, including:

[0011] A login unit for entering and storing the names, contact information, and passwords of patients or medical staff;

[0012] A setting unit for setting the upload frequency of patient status information in the management module;

[0013] Among them, the historical clinical manifestation information in the patient status information is the patient's ocular sign image. After the patient or medical staff enters their name, contact information, and sets a password through the login unit, by entering the name, contact information, and password again in the login unit, the login unit checks whether the currently entered name, contact information, and password are stored in the login unit and match each other. After passing the verification, the user who enters the name, contact information, and password obtains the access permission to the system. The patient status information stored in the management module is stored separately based on the source patient;

[0014] When the user who obtains the access permission to the system is a patient, the user who obtains the access permission can only access the patient status information stored separately corresponding to themselves in the management module of the system.

[0015] Further, the upload targets of the patient status information in the setting unit are the historical medication information, historical clinical manifestation information, and family genetic information in the patient status information. The upload frequency of the patient status information set in the setting unit is synchronously applied to the continuous operation of the evaluation module;

[0016] The upload frequency of the patient status information set in the setting unit follows:

[0017]

[0018] where: k is the upload frequency of patient status information; k 0 is the upload frequency base; sim(P α , P 0 ) is the similarity between the latest patient ocular sign image P α in the historically uploaded patient status information and the standard TAO image P 0 ; sim(P α-1 , P 0 ) is the similarity between the previous patient ocular sign image compared to P α in the historically uploaded patient status information and the standard TAO image P 0 ; χ a , χ bχ is the influencing factor; q is the correction index; γ is the normalization factor;

[0019] Among them, the influencing factor χ a ranges from 0 to 1. The higher the patient's smoking age in the historical smoking information of the patient status information, the smaller the value of the influencing factor χ a is. On the contrary, the influencing factor χ a has a larger value. The influencing factor χ b takes the value of 0.9 or 1. The correction index q is the number of TAO patients in the family genetic information of the patient status information. The correction index q > 0, and the influencing factor χ b takes the value of 0.9. The correction index q ≤ 0, and the influencing factor χ b takes the value of 1.

[0020] Furthermore, the upload frequency base k 0 is user-defined by the system-side user. The normalization factor γ ∈ (0, 1). The normalization factor is used to control to be between 0 and 1. sim(P α , P 0 ) - sim(P α-1 , P 0 ) > 0, the upload frequency of the patient status information takes k. sim(P α , P 0 ) - sim(P α-1 , P 0 ) ≤ 0, the upload frequency of the patient status information takes k 0 ;

[0021] The calculation logic of the sim(P α , P 0 ) and sim(P α-1 , P 0 ) is the same. The calculation logic of sim(P α , P 0 ) is:

[0022]

[0023] In the formula: n is the total number of source positions of the eigenvectors in P α and P 0 ; △f i is the difference vector at the i-th position in P α and P 0 .

[0024] Furthermore, the patient's quality of life is evaluated based on TAO-QOL, SAS, and SDS. The evaluation result is three scores. The result of the evaluation module for evaluating the patient's quality of life is:

[0025]

[0026] Where: L is the patient's quality of life performance value; L TAO-QOL is the patient's TAO-QOL score; L SAS is the patient's SAS score; L SDS is the patient's SDS score;

[0027] Among them, L TAO-QOL , L SAS , L SDS The extreme values of the three correspond to the same. The larger the patient's quality of life performance value L, the better the patient's quality of life. Conversely, it means the worse the patient's quality of life.

[0028] Furthermore, the analysis logic of the patient's TAO rehabilitation process in the analysis module is expressed as:

[0029]

[0030] Where: F is the patient's TAO rehabilitation process performance value; sim(P earliest , P 0 ) is the similarity between the earliest patient eye sign image P earliest in the historically uploaded patient status information and the standard TAO image P 0 ; sim(P latest , P 0 ) is the similarity between the most recent patient eye sign image P latest in the historically uploaded patient status information and the standard TAO image P 0 .

[0031] Furthermore, the horizontal axis of the trend chart of the evaluation result change generated in the visualization module represents time, and the vertical axis represents the continuously obtained patient quality of life performance value. The horizontal axis of the trend chart of the analysis result change generated in the visualization module represents time, and the vertical axis represents the continuously obtained patient TAO rehabilitation process performance value;

[0032] Among them, the two groups of trend charts in the visualization module are updated synchronously based on the update of the analysis result and the evaluation result, indicating that the trend charts of the analysis result and the evaluation result are both line charts.

[0033] Furthermore, the trend chart used to represent the analysis result is denoted as trend Figure 1 , and the trend chart used to represent the evaluation result is denoted as trend chart two. The latest trend line segment representing the quality of life and the latest trend line segment representing the rehabilitation process in the trend chart are always used for the operation determination of the determination module;

[0034] Trend Figure 1 The trend line segment in is rising, and the trend line segment in trend chart two is rising, and the intervention level to be is level one;

[0035] Trend Figure 1 The middle trend line segment is rising, and the middle trend line segment in Figure 2 of the trend is falling. The intervention level to be determined is level two; Trend Figure 1 The middle trend line segment is falling, and the middle trend line segment in Figure 2 of the trend is rising. The intervention level to be determined is level two;

[0036] Trend Figure 1 The middle trend line segment is falling, and the middle trend line segment in Figure 2 of the trend is falling. The intervention level to be determined is level three.

[0037] Furthermore, the medical staff customize the response measures for the intervention level to be determined. The medical staff access the system to obtain the intervention level to be determined for each patient in the interaction module, and provide corresponding response measures for the patient based on the intervention level to be determined for the patient.

[0038] Furthermore, a login unit and a setting unit are connected to the lower level of the management module through wireless network interaction. The management module is connected to an evaluation module and an analysis module through wireless network interaction. The evaluation module is connected to the setting unit through wireless network interaction. The analysis module is connected to a visualization module through wireless network interaction. The visualization module is connected to a determination module and an interaction module through wireless network interaction.

[0039] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following beneficial effects:

[0040] The present invention provides an artificial intelligence intervention system applied to TAO patients. During the operation of the system, by uploading the patient's status information in real time and evaluating the patient's quality of life, a higher real-time monitoring effect is brought to TAO patients, so as to manage the rehabilitation effect of the patient's condition more frequently. Further, by setting the intervention level to be determined, the rehabilitation effect of the patient is evaluated. At the same time, the intervention level to be determined provides a reference for the medical staff to plan the follow-up treatment plan, and further maintains that TAO patients achieve a faster rehabilitation or control the development of the condition;

[0041] At the same time, based on the way of creating a trend chart, a visual reading effect of the patient's condition change is provided for the medical staff, so as to facilitate the medical staff to read and control the patient's condition change more quickly. Description of the Drawings

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0043] Figure 1 It is a schematic structural diagram of an artificial intelligence intervention system applied to TAO patients. Specific implementation manners

[0044] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0045] The present invention will be further described below with reference to embodiments.

[0046] Embodiment:

[0047] An artificial intelligence intervention system applied to TAO patients in this embodiment, as Figure 1 shown, includes:

[0048] A management module, configured to upload patient status information in real time and store the patient status information;

[0049] The patient status information in the management module is manually uploaded by the patient or medical staff. The patient status information includes: historical medication information, historical clinical manifestation information, historical smoking information, and family genetic information. Sub-modules are provided under the management module, including:

[0050] A login unit, configured to enter and store the name, contact information and set password of the patient or medical staff;

[0051] A setting unit, configured to set the upload frequency of the patient status information in the management module;

[0052] Among them, the historical clinical manifestation information in the patient status information is the ocular sign image of the patient. After the patient or medical staff enters the name, contact information and sets the password through the login unit, by entering the name, contact information and password again in the login unit, the login unit checks whether the currently entered name, contact information and password are stored in the login unit and match each other. After the check passes, the user who enters the name, contact information and password obtains the access permission to the system. The patient status information stored in the management module is stored separately based on the source patient;

[0053] When the user who obtains the access permission to the system is the patient, the user who obtains the access permission can only access the patient status information stored separately corresponding to himself in the management module in the system;

[0054] Set the upload target of the patient status information in the setting unit to the historical medication information, historical clinical manifestation information, and family genetic information in the patient status information. The patient status information upload frequency set in the setting unit is synchronously applied to the continuous operation of the evaluation module;

[0055] The patient status information upload frequency set in the setting unit follows:

[0056]

[0057] Where: k is the patient status information upload frequency; k 0 is the upload frequency base; sim(P α , P 0 ) is the similarity between the latest patient eye sign image P α in the historically uploaded patient status information and the standard TAO image P 0 ; sim(P α-1 , P 0 ) is the similarity between the previous patient eye sign image compared to P α in the historically uploaded patient status information and the standard TAO image P 0 ; χ a , χ b are influence factors; q is the correction index; γ is the normalization factor;

[0058] Among them, the influence factor χ a takes values from 0 to 1. The higher the patient's smoking age in the historical smoking information of the patient status information, the smaller the value of the influence factor χ a , and vice versa, the larger the value of the influence factor χ a . The influence factor χ b takes the value of 0.9 or 1. The correction index q is the number of TAO patients in the family genetic information of the patient status information, and the correction index q > 0. The influence factor χ b takes the value of 0.9, and when the correction index q ≤ 0, the influence factor χ b takes the value of 1;

[0059] The upload frequency base k 0 is user-defined by the system-side user. The normalization factor γ ∈ (0, 1), and the normalization factor is used to control to be between 0 and 1. When sim(P α , P 0 ) - sim(P α-1 , P 0 ) > 0, the patient status information upload frequency takes k. When sim(P α , P 0 ) - sim(P α-1 , P 0 ) ≤ 0, the patient status information upload frequency takes k0 ;

[0060] sim(P α , P 0 ) and sim(P α-1 , P 0 ) have the same calculation logic. The calculation logic of sim(P α , P 0 ) is as follows:

[0061]

[0062] In the formula: n is the total number of source positions of the eigenvectors in P α and P 0 ; △f i is the difference vector at the i-th position in P α and P 0 ;

[0063] Through the above logical formula, the upload frequency of patient status information is limited to ensure that a more appropriate upload frequency of status information can be obtained for different patients and their different status information based on this system, so as to achieve comprehensive monitoring of patients.

[0064] An evaluation module, used to evaluate the quality of life of patients;

[0065] The quality of life of patients is evaluated based on TAO-QOL, SAS, and SDS, and the evaluation result is three scores. The result of the evaluation module evaluating the quality of life of patients is:

[0066]

[0067] In the formula: L is the performance value of the quality of life of patients; L TAO-QOL is the TAO-QOL score of the patient; L SAS is the SAS score of the patient; L SDS is the SDS score of the patient;

[0068] Among them, the extreme values of L TAO-QOL , L SAS , and L SDS correspond to the same value. The larger the performance value L of the quality of life of patients, the better the quality of life of patients. On the contrary, it means that the quality of life of patients is worse;

[0069] An analysis module, used to traverse the patient status information stored in the management module and analyze the TAO rehabilitation process of patients by applying the patient status information;

[0070] The analysis logic of the TAO rehabilitation process of patients in the analysis module is expressed as:

[0071]

[0072] Where: F is the performance value of the patient's TAO rehabilitation process; sim(P earliest , P 0 ) is the similarity between the earliest eye sign image P of the patient's historical uploaded status information and the standard TAO image P earliest ; sim(P 0 , P latest , P 0 ) is the similarity between the most recent eye sign image P of the patient's historical uploaded status information and the standard TAO image P latest ; 0

[0073] Through the above logical formula, the quality of life of the patient and the TAO rehabilitation process of the patient are calculated and represented in a digital form, providing necessary operation data support for the further operation of the visualization module in this system.

[0074] The visualization module is used to receive the patient's quality of life assessment results in the assessment module and the patient's TAO rehabilitation process analysis results in the analysis module, and create a trend chart of the change of the assessment results and a trend chart of the change of the analysis results based on the assessment results and the analysis results;

[0075] The determination module is used to read the trend chart in the visualization module and determine the patient's level to be intervened based on the trend chart;

[0076] The trend chart used to represent the analysis results is denoted as trend Figure 1 , and the trend chart used to represent the assessment results is denoted as trend chart two. The latest trend line segment representing the quality of life and the latest trend line segment representing the rehabilitation process in the trend chart are always used for the operation determination of the determination module;

[0077] Trend Figure 1 If the trend line segment in trend is rising and the trend line segment in trend chart two is rising, the level to be intervened is level one;

[0078] Trend Figure 1 If the trend line segment in trend is rising and the trend line segment in trend chart two is falling, the level to be intervened is level two; If the trend line segment in trend Figure 1 is falling and the trend line segment in trend chart two is rising, the level to be intervened is level two;

[0079] Trend Figure 1 If the trend line segment in trend is falling and the trend line segment in trend chart two is falling, the level to be intervened is level three;

[0080] The interaction module is used to receive the determination result of the level to be intervened for the patient in the determination module and feedback the determination result to the medical staff;

[0081] ​The lower level of the management module is connected with a login unit and a setting unit through wireless network interaction. The management module is connected with an evaluation module and an analysis module through wireless network interaction. The evaluation module is connected with the setting unit through wireless network interaction. The analysis module is connected with a visualization module through wireless network interaction. The visualization module is connected with a determination module and an interaction module through wireless network interaction.

[0082] In this embodiment, the management module runs to upload the patient status information in real time and stores the patient status information. The login unit synchronously enters and stores the names, contact information and set passwords of patients or medical staff. The setting unit sets the upload frequency of the patient status information in the management module in real time. The evaluation module runs later to evaluate the patient's quality of life. The analysis module further traverses the patient status information stored in the management module, applies the patient status information to analyze the patient's TAO rehabilitation process. Then, the visualization module receives the patient quality of life evaluation results in the evaluation module and the patient TAO rehabilitation process analysis results in the analysis module in real time, creates a trend chart of the change of the evaluation results and a trend chart of the change of the analysis results based on the evaluation results and the analysis results. The determination module runs to read the trend chart in the visualization module, determines the patient's pending intervention level based on the trend chart. Finally, the interaction module receives the determination result of the patient's pending intervention level in the determination module and feeds back the determination result to the medical staff.

[0083] Through the system in the above embodiment, a relatively slow treatment management service is brought to TAO patients. Based on this system to assist TAO patients in treatment, the effect of drug treatment can be guaranteed as much as possible, and a more effective treatment management service is brought to TAO patients.

[0084] As Figure 1 shown, the horizontal axis of the trend chart of the change of the evaluation results generated in the visualization module represents time, and the vertical axis represents the continuously obtained patient quality of life performance values. The horizontal axis of the trend chart of the change of the analysis results generated in the visualization module represents time, and the vertical axis represents the continuously obtained patient TAO rehabilitation process performance values;

[0085] Among them, the two groups of trend charts in the visualization module are updated synchronously based on the update of the analysis results and the evaluation results, and the trend charts representing the analysis results and the evaluation results are both line charts.

[0086] Through the above settings, further operation logic support is brought to the visualization module of the system in this embodiment, ensuring the stable creation of the trend chart and providing operation data support for the further operation of the determination module in the system.

[0087] As Figure 1 shown, medical staff customize the countermeasures for the pending intervention level. Medical staff access the system to obtain the pending intervention levels of each patient in the interaction module and provide corresponding countermeasures for the patients based on the pending intervention levels of the patients.

[0088] In summary, during the operation of the system in the above embodiments, by uploading the patient's status information in real time and evaluating the patient's quality of life, a monitoring effect with higher real-time performance is brought to TAO patients, so as to manage the rehabilitation effect of the patients more frequently. Further, by setting the level to be intervened, the rehabilitation effect of the patients is evaluated. At the same time, the level to be intervened provides a reference for the medical staff to plan subsequent treatment plans, further maintaining the purpose of enabling TAO patients to achieve faster rehabilitation or controlling the development of the disease. At the same time, based on the method of creating a trend chart, a visual reading effect of the patient's condition change is provided for the medical staff, so that the medical staff can read and control the patient's condition change more quickly.

[0089] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An artificial intelligence intervention system for TAO patients, characterized in that: include: A management module is used to upload and store patient status information in real time; Assessment module, used to evaluate the patient's quality of life; An analysis module, used to traverse the patient status information stored in the management module and use the patient status information to analyze the patient's TAO rehabilitation process; A visualization module is used to receive in real time the patient's quality of life assessment results in the assessment module and the patient's TAO rehabilitation process analysis results in the analysis module, and to create a trend chart of changes in the assessment results and a trend chart of changes in the analysis results based on the assessment results and the analysis results; A determination module, used for reading the trend graph in the visualization module and determining the patient's level of intervention based on the trend graph; The interactive module is used to receive the determination result of the patient's intervention level in the determination module and feed back the determination result to the medical staff.

2. The artificial intelligence intervention system for TAO patients according to claim 1, characterized in that: The patient status information in the management module is manually uploaded by the patient or medical staff, and the patient status information includes: historical medication information, historical clinical manifestation information, historical smoking information, and family genetic information. The management module is provided with submodules at the lower level, including: Login unit, used to input and store the patient or medical staff name, contact information and set password; A setting unit, used to set the uploading frequency of the patient status information in the management module; Among them, the historical clinical manifestation information in the patient status information is the patient's eye sign image. After the patient or medical staff enters the name, contact information and sets the password through the login unit, they enter the name, contact information and password in the login unit again, and the login unit verifies whether the currently entered name, contact information and password are stored in the login unit and match each other. After the verification is passed, the user who entered the name, contact information and password obtains the right to access the system, and the patient status information stored in the management module is stored based on the source patient. When the user who obtains the system access permission is a patient, the user who obtains the access permission can only access the patient status information corresponding to himself / herself and stored separately in the management module of the system.

3. The artificial intelligence intervention system for TAO patients according to claim 2, characterized in that: The upload target of the patient status information in the setting unit is the historical medication information, historical clinical manifestation information and family genetic information in the patient status information, and the patient status information upload frequency set in the setting unit is synchronously applied to the continuous operation of the evaluation module; The frequency of uploading the patient status information set in the setting unit is subject to: Where: k is the frequency of uploading patient status information; k0 is the base of uploading frequency; sim(P α , P0) is the latest patient eye sign image P in the historical uploaded patient status information α Similarity with the standard TAO image P0; sim(P α-1 , P0) is the historical uploaded patient status information compared to P α The similarity between the last patient eye sign image and the standard TAO image P0; χ a , χ b is the impact factor; q is the correction index; γ is the normalization factor; Among them, the impact factor χ a The value ranges from 0 to 1. The higher the patient's smoking age in the patient's historical smoking information, the higher the impact factor χ a The smaller the value, the smaller the impact factor χ a The larger the value, the greater the impact factor χ b The value is 0.9 or 1. The correction index q is the number of TAO patients in the family genetic information of the patient status information. The correction index q>0, the impact factor χ b The value is 0.9, the correction index q≤0, and the impact factor χ b The value is 1.

4. The artificial intelligence intervention system for TAO patients according to claim 3, characterized in that: The upload frequency base k0 is defined by the system user, and the normalization factor γ∈(0,1) is used to control Between 0 and 1, sim(P α ,P0)-sim(P α-1 ,P0)>0, the patient status information upload frequency is k, sim(P α ,P0)-sim(P α-1 ,P0)≤0, the frequency of uploading patient status information is k0; The sim(P α ,P0) and sim(P α-1 ,P0) has the same calculation logic, sim(P α ,P0) is calculated as follows: Where: n is P α The total amount of the source position of the eigenvector in P0; △f i P α The difference vector with the i-th position in P0.

5. The artificial intelligence intervention system for TAO patients according to claim 1, characterized in that: The patient's quality of life is evaluated based on TAO-QOL, SAS and SDS, and the evaluation results are three scores. The results of the evaluation module evaluating the patient's quality of life are: Where: L is the patient's quality of life performance value; L TAO-QOL is the patient's TAO-QOL score; L SAS is the patient's SAS score; L SDS The SDS score of the patient; Among them, L TAO-QOL , L SAS , L SDS The extreme values ​​of the three correspond to the same. The larger the patient's quality of life performance value L is, the better the patient's quality of life is. Conversely, the worse the patient's quality of life is.

6. The artificial intelligence intervention system for TAO patients according to claim 1, characterized in that: The analysis logic of the patient's TAO recovery process in the analysis module is expressed as: Where: F is the patient's TAO rehabilitation process performance value; sim(P earliest , P0) is the earliest patient eye sign image P in the historical uploaded patient status information earliest Similarity with the standard TAO image P0; sim(P latest , P0) is the most recent patient eye sign image P in the historical uploaded patient status information latest Similarity with the standard TAO image P0.

7. The artificial intelligence intervention system for TAO patients according to claim 1, characterized in that: The horizontal axis of the trend graph of the evaluation result changes generated in the visualization module represents time, and the vertical axis represents the continuously obtained patient quality of life performance value; the horizontal axis of the trend graph of the analysis result changes generated in the visualization module represents time, and the vertical axis represents the continuously obtained patient TAO rehabilitation process performance value; Among them, the two sets of trend charts in the visualization module are updated synchronously based on the update of the analysis results and the evaluation results, and the trend charts representing the analysis results and the evaluation results are both line charts.

8. The artificial intelligence intervention system for TAO patients according to claim 1, characterized in that: The trend graph used to represent the analysis result is recorded as trend graph 1, and the trend graph used to represent the evaluation result is recorded as trend graph 2. The latest trend line segment representing the quality of life and the latest trend line segment representing the rehabilitation process in the trend graph are always used for the operation determination of the determination module; The trend line segment in trend chart 1 is rising, and the trend line segment in trend chart 2 is rising, and the intervention level is level 1; The trend line segment in trend chart 1 is rising, and the trend line segment in trend chart 2 is falling, and the level of intervention is level 2; The trend line segment in trend chart 1 is downward, and the trend line segment in trend chart 2 is upward, and the level of intervention is level 2; The trend line segment in trend chart one is downward, and the trend line segment in trend chart two is downward, and the level of intervention is level three.

9. The artificial intelligence intervention system for TAO patients according to claim 1, characterized in that: The medical staff customizes the coping measures for the level of intervention to be performed, and the medical staff accesses the system to obtain the level of intervention to be performed for each patient in the interactive module, and provides corresponding coping measures for the patient based on the level of intervention to be performed for the patient.

10. The artificial intelligence intervention system for TAO patients according to claim 1, characterized in that: The management module is interactively connected to a login unit and a setting unit at its lower level via a wireless network, the management module is interactively connected to an evaluation module and an analysis module via a wireless network, the evaluation module is interactively connected to the setting unit via a wireless network, the analysis module is interactively connected to a visualization module via a wireless network, and the visualization module is interactively connected to a determination module and an interaction module via a wireless network.

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