Differential analysis system and method for traditional Chinese medicine diabetic retinopathy based on artificial intelligence

Abstract

The invention discloses a traditional Chinese medicine diabetic retinopathy difference analysis system and method based on artificial intelligence, and relates to the technical field of artificial intelligence, and the system comprises a real-time adjustment end, a difference analysis end and a formula generation end; the real-time adjusting end is used for automatically generating retina image texture information of the diabetic patient through an image converter by detecting the retina texture of the diabetic patient in real time; the difference analysis end is used for receiving a retinal texture comparison result of a diabetic patient in real time; the formula generation end is used for receiving the retinopathy difference data in real time and taking standard traditional Chinese medicine formulas set by different lesions as the basis according to the retinopathy difference data. According to the traditional Chinese medicine diabetic retinopathy difference analysis system and method based on artificial intelligence, the retina comparison image is zoomed or expanded in real time according to the sizes of retinas of different patients, the accuracy of diabetic retina difference analysis is improved, and the accuracy of diabetic retina difference analysis is improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a differential analysis system and method for traditional Chinese medicine diabetic retinopathy based on artificial intelligence. Background Art

[0002] Diabetic retinopathy is a common chronic complication of diabetes, which mainly affects the microvessels in the fundus, leading to decreased vision or even blindness. In traditional Chinese medicine, diabetic retinopathy is often called "cataract". Chinese medicine believes that the occurrence of diabetic retinopathy is closely related to factors such as qi and yin deficiency, liver and kidney deficiency, yin and yang deficiency, and blood stasis caused by long-term diabetes. These factors can lead to ocular microcirculation disorders, causing characteristic retinal changes such as retinal hemorrhage and exudation, macular edema, and proliferative retinal detachment, which seriously affect the patient's visual function and quality of life.

[0003] Publication No. CN112237415A discloses an early detection method for diabetic retinopathy based on OCTA image texture analysis. Through mathematical statistics methods, the differences of each characteristic parameter in the control group and ROC analysis are obtained to obtain the boundary value; the characteristic parameters of the unknown sample are obtained through step 4 and compared with the boundary value in step 5, and then the unknown sample is classified according to the comparison result. The present invention can quickly and accurately determine the retinopathy of diabetic patients, accurately give the corresponding traditional Chinese medicine treatment formula according to individual differences, and the whole process is non-invasive, which will not cause discomfort and trauma to the patient.

[0004] After searching the above patents, it was found that there are some deficiencies in the differential analysis of diabetic retinopathy in traditional Chinese medicine: 1. Due to human differences, there are differences in eye parameters of different patients. When analyzing diabetic retinopathy based on OCTA image texture analysis, image noise reduction and texture characteristic comparison processing are performed. It is impossible to scale or expand the retinal comparison image in real time according to the size of the patient's retina, resulting in limitations in the differential analysis of diabetic retinopathy for different patients, affecting the convenience of differential analysis of diabetic retinopathy; 2. Since the differential analysis of diabetic retinopathy is based on real-time comparison of retinal texture, but due to the different retinal fundus structures of different patients, it is impossible to analyze the difference in lesions in real time according to the texture structure of the retina at different positions and angles of the diabetic patient's retina, affecting the accuracy of the differential analysis of the retina of diabetic patients; 3. When differential analysis of the retina of diabetic patients is performed, although the differential analysis results of retinopathy can be evaluated and data can be generated, it is impossible to automatically generate a Chinese medicine formula for treating diabetic patients based on the differential analysis data, resulting in limited differential analysis solutions for diabetic retinopathy.

[0005] Therefore, an artificial intelligence-based differential analysis system and method for TCM diabetic retinopathy is proposed to solve the above problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a differential analysis system and method for TCM diabetic retinopathy based on artificial intelligence to solve the problems raised in the above background.

[0007] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a differential analysis system and method of TCM diabetic retinopathy based on artificial intelligence, including a real-time adjustment end, a differential analysis end and a formula generation end; The real-time adjustment end is used to detect the retinal texture of the diabetic patient in real time, automatically generate the retinal image texture information of the diabetic patient through the image converter, set the standard retinal texture, and scale or expand the retinal comparison texture in real time according to the size of the patient's retina, move the retinal texture in real time to overlap with the standard retinal texture, and judge whether the retinal texture color is abnormal in real time according to the color difference; The difference analysis end is used to receive the retinal texture comparison results of the diabetic patient in real time, adjust the texture structures of different positions and angles of the retinal texture comparison of the diabetic patient in real time, track the retinal texture comparison position and comparison angle in real time, and analyze the lesion difference to detect whether the patient has retinal lesions in real time; The formula generation end is used to receive real-time retinal lesion difference data, and based on the retinal lesion difference data and the standard Chinese medicine formula set for different lesions, automatically generate a Chinese medicine formula report for treating diabetic patients, and combine the Chinese medicine formula report with the evaluation data to display it in real-time on a computer page, thereby realizing the difference analysis of diabetic retinopathy in traditional Chinese medicine based on artificial intelligence.

[0008] The real-time adjustment terminal includes a data detection module, an information acquisition module and an adjustment tracking module; The data detection module includes a retinal texture unit and a multi-position recording unit; The retinal texture unit is used to capture the retinal texture data of the diabetic patient in real time through the Eye print ID, and record it in real time through the data recorder; The multi-position recording unit is used to set a plurality of positions for capturing the retinal texture of the diabetic patient, and to record the corresponding positions for capturing the retinal texture of the diabetic patient in real time through a data recorder.

[0009] The information acquisition module includes a standard data unit and an image generation unit; The standard data unit is used to set standard retinal texture information according to retinal data of a normal object; The image generating unit is used to generate images of the retinal textures of the diabetic patient captured at multiple positions in real time by an image generator to obtain the retinal texture image information of the patient.

[0010] The adjustment tracking module includes a zooming and enlarging unit, a retina comparison unit, a real-time movement unit and a color judgment unit; The zooming and enlarging unit is used to reduce or enlarge the texture comparison range between the retinal texture image information and the standard retinal texture information in real time through the touch screen technology; The retinal comparison unit is used to compare retinal texture information in real time in combination with different positions. The comparison formula is as follows: ; in, Represents the retinal texture information comparison data value at different locations, Represents the standard value of retinal texture information at the corresponding moment, Represents the basic value of the retinal texture information at the corresponding moment, Represents the basic data of the retinal texture information of the corresponding position tracked, Standard data representing retinal texture information at corresponding positions; If the calculated = 0, the tracked shrinking or enlarging retinal texture operation is judged to be normal. ≠0, it is determined that the tracked reduced or enlarged retinal texture operation is executed abnormally; The real-time moving unit is used to adjust the comparison position and comparison position of the retinal texture information in real time through the touch screen technology; The color judgment unit is used to calculate the retinal texture information and the color difference value ΔE, and set the color difference threshold. The calculation formula of ΔE is as follows: △E=[(△L)^2+(△a)^2+(△b )^2]^0.5; Among them, △L, △a and △b represent the difference between two colors on the three axes of L, a and b respectively, △E represents the difference between the retinal texture information and the standard retinal texture information, and the difference value is calculated with the color difference threshold. If the difference calculation result is greater than or equal to 0.5 or less than or equal to -0.5, it means that the retinal texture information retinopathy is abnormal. If the difference calculation result is less than 0.5 and greater than -0.5, it means that the retinal texture information retinopathy is normal.

[0011] The difference analysis end includes a comparison adjustment module, a real-time comparison module and a lesion tracking module; The comparison and adjustment module includes different position units and different texture units; The different position units are used to calculate the difference between the retinal texture information and the standard retinal texture information in combination with different positions; The different texture units are used to calculate the difference between the retinal texture information and the standard retinal texture information in combination with different texture routes.

[0012] The real-time comparison module includes a position comparison unit and an angle comparison unit; The position comparison unit is used to calculate the retinal texture information comparison difference value at different positions in real time, and the calculation formula is as follows: S=D_min-d_max, where S represents the difference value of retinal texture information comparison at different positions, D_min represents the minimum diameter of position comparison, and d_max represents the maximum diameter of position comparison; The angle comparison unit is used to calculate in real time whether there is an angle deviation in the comparison of retinal texture information at different angles, and the standard retinal texture angle at the corresponding position is set as the center point. The calculation method is as follows: △θ=| -β|, where △θ represents the angle deviation of retinal texture information at different angles. represents the current angle corresponding to the retinal texture information comparison, β represents the standard angle corresponding to the retinal texture information comparison, if △θ is not equal to 0, it means that the retinal lesion is abnormal, if △θ is equal to 0, the retinal lesion is normal.

[0013] The lesion tracking module includes a lesion determination unit and a lesion early warning unit; The lesion determination unit is used to analyze retinal lesions based on the comparison difference values ​​of retinal texture information at different positions and the angle deviations of retinal texture information at different angles; The lesion warning unit is used to report that when the comparison difference value of retinal texture information at different positions is not equal to 0, and the angle deviation of retinal texture information at different angles is not equal to 0, the reporting system will issue a voice alarm, record in real time through a data recorder, and capture abnormal retinal lesion images in real time through a camera.

[0014] The formula generation end includes a data receiving module, a traditional Chinese medicine formula module, a data evaluation module and a combined display module; The data receiving module is used for receiving data in real time through a data receiver; The Chinese medicine formula module includes the difference value of the comparison of retinal texture information at different positions of the standard formula unit and the lesion matching unit and the angle deviation of retinal texture information at different angles, and records them in real time through a data recorder; The standard formula unit is used to set Chinese medicine formulas with different dosages and different medication cycles according to diabetic retinopathy; The lesion matching unit is used to match the Chinese medicine formula in real time according to the difference values ​​of the retinal texture information comparison at different positions and the angle deviation of the retinal texture information at different angles, combined with different dosages and different medication cycles.

[0015] The data evaluation module is used to automatically generate a Chinese medicine formula report for treating diabetic patients based on the difference values ​​of the retinal texture information comparison at different positions and the angle deviation of the retinal texture information at different angles; The combined display module is used to visualize the Chinese medicine formula in real time through a computer, and simultaneously display the difference analysis data results of TCM diabetic retinopathy during the visualization.

[0016] The differential analysis method of TCM diabetic retinopathy based on artificial intelligence includes the following steps: Step 1: Configure the IP address information of the remote control area server for difference analysis; Step 2: Enter the real-time adjustment terminal, detect the retinal texture of diabetic patients in real time, automatically generate retinal images, set standard retinal textures, and scale or enlarge the retina in real time according to the size of the patient's retina, move in real time according to the retinal texture, and judge in real time whether the retinal texture color is abnormal; Step 3: Enter the difference analysis terminal, use the retinal image, and adjust the texture structure of different positions and angles of the retinal texture comparison of diabetic patients in real time to analyze the lesion difference in real time, and detect whether the patient has retinal lesions in real time; Step 4: Enter the formula generation end, automatically generate a traditional Chinese medicine formula for treating diabetic patients based on the retinal lesion difference data, and automatically visualize the traditional Chinese medicine formula combined with the evaluation data.

[0017] The present invention has the following beneficial effects: 1. In the present invention, by setting a real-time adjustment terminal, during the differential analysis of diabetic retinopathy in traditional Chinese medicine based on artificial intelligence, the retinal image texture information of diabetic patients is automatically generated, and the retinal comparison texture is scaled or enlarged in real time according to the size of the patient's retina. When performing differential analysis of diabetic retinopathy, the retinal comparison image can be scaled or enlarged in real time according to the size of the retina of different patients, thereby reducing the limitations of differential analysis of diabetic retinopathy in different patients and increasing the convenience of differential analysis of diabetic retinopathy.

[0018] 2. In the present invention, by setting a difference analysis end, when performing the difference analysis of diabetic retinopathy in traditional Chinese medicine based on artificial intelligence, the comprehensiveness of diabetic retinopathy detection is increased by real-time adjusting the texture structures at different positions and angles of the retinal texture comparison of diabetic patients, and the lesion differences are analyzed in real time according to the texture structures at different positions and angles of the retina of diabetic patients, which can further improve the accuracy of the difference analysis of the retina of diabetic patients.

[0019] 3. In the present invention, by setting a formula generation end, during the differential analysis of diabetic retinopathy in traditional Chinese medicine based on artificial intelligence, by automatically generating a Chinese medicine formula for treating diabetic patients, and combining the Chinese medicine formula with the evaluation data, the Chinese medicine formula is displayed in real time on a computer page in a visual manner. This can not only evaluate the differential analysis results of retinopathy and generate data, but also automatically generate a Chinese medicine formula for treating diabetic patients based on the differential analysis data, thereby reducing the limitations of the differential analysis scheme for diabetic retinopathy. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the process architecture of the differential analysis method of TCM diabetic retinopathy based on artificial intelligence of the present invention; Figure 2 It is a schematic diagram of the architecture of the real-time adjustment end of the differential analysis system of TCM diabetic retinopathy based on artificial intelligence of the present invention; Figure 3 It is a schematic diagram of the architecture of the differential analysis end of the differential analysis system of TCM diabetic retinopathy based on artificial intelligence of the present invention; Figure 4 The present invention is a schematic diagram of the architecture of the real-time adjustment end of the differential analysis system of TCM diabetic retinopathy based on artificial intelligence. DETAILED DESCRIPTION

[0021] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0022] Embodiment 1 Please refer to Figure 1 to Figure 2 As shown: A differential analysis system and method for TCM diabetic retinopathy based on artificial intelligence, including a real-time adjustment end, a differential analysis end, and a formula generation end; The real-time adjustment end is used to detect the retinal texture of the diabetic patient in real time, automatically generate the retinal image texture information of the diabetic patient through the image converter, set the standard retinal texture, and scale or expand the retinal comparison texture in real time according to the size of the patient's retina, move the retinal texture in real time to overlap with the standard retinal texture, and judge whether the retinal texture color is abnormal in real time according to the color difference; The difference analysis terminal is used to receive the retinal texture comparison results of the diabetic patient in real time, and adjust the texture structures of different positions and angles of the retinal texture comparison of the diabetic patient in real time, track the retinal texture comparison position and comparison angle in real time, and analyze the lesion difference to detect whether the patient has retinal lesions in real time; The formula generation end is used to receive real-time retinal lesion difference data, and based on the retinal lesion difference data and the standard Chinese medicine formula set for different lesions, automatically generate a Chinese medicine formula report for treating diabetic patients, and combine the Chinese medicine formula report with the evaluation data to display it in real time on a computer page, thereby realizing differential analysis of diabetic retinopathy in Traditional Chinese Medicine based on artificial intelligence.

[0023] The real-time adjustment end includes a data detection module, an information acquisition module, and an adjustment tracking module; The data detection module includes a retinal texture unit and a multi-position recording unit; The retinal texture unit is used to capture the retinal texture data of diabetic patients in real time through Eye print ID and record it in real time through a data recorder; The multi-position recording unit is used for setting a plurality of positions for capturing the retinal texture of the diabetic patient, and recording the corresponding positions for capturing the retinal texture of the diabetic patient in real time through a data recorder.

[0024] The information acquisition module includes a standard data unit and an image generation unit; The standard data unit is used to set standard retinal texture information according to retinal data of normal subjects; The image generating unit is used to generate images of the retinal textures of the diabetic patient captured at multiple positions in real time by an image generator, so as to obtain the retinal texture image information of the patient.

[0025] The adjustment tracking module includes a zooming and enlarging unit, a retina comparison unit, a real-time movement unit and a color judgment unit; The zooming and enlarging unit is used to reduce or enlarge the texture comparison range between the retinal texture image information and the standard retinal texture information in real time through the touch screen technology, set the standard retinal texture, and scale or enlarge the retinal comparison texture in real time according to the size of the patient's retina, move the retinal texture in real time to overlap with the standard retinal texture, and judge whether the retinal texture color is abnormal in real time according to the color difference; The retinal comparison unit is used to compare retinal texture information in real time by combining different positions. The comparison formula is as follows: ; in, Represents the retinal texture information comparison data value at different locations, Represents the standard value of retinal texture information at the corresponding moment, Represents the basic value of the retinal texture information at the corresponding moment, Represents the basic data of the retinal texture information of the corresponding position tracked, Standard data representing retinal texture information at corresponding positions; If the calculated = 0, the tracked shrinking or enlarging retinal texture operation is judged to be normal. ≠0, it is determined that the tracked reduced or enlarged retinal texture operation is executed abnormally; The real-time moving unit is used to adjust the comparison position and comparison position of the retinal texture information in real time through the touch screen technology; The color judgment unit is used to calculate the retinal texture information and the color difference value △E, and set the color difference threshold. The calculation formula of △E is as follows: △E=[(△L)^2+(△a)^2+(△b )^2]^0.5; Among them, △L, △a and △b represent the differences between two colors on the three axes of L, a and b respectively, △E represents the difference between the retinal texture information and the standard retinal texture information, and the difference value is calculated with the color difference threshold. If the difference calculation result is greater than or equal to 0.5 or less than or equal to -0.5, it means that the retinal texture information retinopathy is abnormal; if the difference calculation result is less than 0.5 and greater than -0.5, it means that the retinal texture information retinopathy is normal. The retinal comparison image can be scaled or enlarged in real time according to the size of the retina of different patients, thereby increasing the accuracy of sharing the difference in retinal lesions, reducing the limitations of different patients in the difference analysis of diabetic retinopathy, and increasing the convenience of the difference analysis of diabetic retinopathy.

[0026] Embodiment 2 Please refer to Figure 3 As shown: Based on the first embodiment, the difference analysis end includes a comparison adjustment module, a real-time comparison module and a lesion tracking module; The comparison and adjustment module includes different position units and different texture units; Different position units are used to calculate the difference between the retinal texture information and the standard retinal texture information in combination with different positions; Different texture units are used to combine different texture routes to calculate the difference between retinal texture information and standard retinal texture information. The lesion differences are analyzed in real time according to the texture structure of different positions and angles of the retina of diabetic patients, which can further improve the accuracy of retinal difference analysis of diabetic patients.

[0027] The real-time comparison module includes a position comparison unit and an angle comparison unit; The position comparison unit is used to calculate the retinal texture information comparison difference value at different positions in real time. The calculation formula is as follows: S=D_min-d_max, where S represents the difference value of retinal texture information comparison at different positions, D_min represents the minimum diameter of position comparison, and d_max represents the maximum diameter of position comparison; The angle comparison unit is used to calculate in real time whether there is an angle deviation in the comparison of retinal texture information at different angles. The standard retinal texture angle at the corresponding position is set as the center point. The calculation method is as follows: △θ=| -β|, where △θ represents the angle deviation of retinal texture information at different angles. represents the current angle corresponding to the retinal texture information comparison, β represents the standard angle corresponding to the retinal texture information comparison, if △θ is not equal to 0, it means that the retinal lesion is abnormal, if △θ is equal to 0, the retinal lesion is normal.

[0028] The lesion tracking module includes a lesion judgment unit and a lesion early warning unit; The lesion judgment unit is used to analyze retinal lesions based on the comparison difference values ​​of retinal texture information at different positions and the angle deviations of retinal texture information at different angles; The lesion warning unit is used to report that when the difference value of the retinal texture information comparison at different positions is not equal to 0, and the angle deviation of the retinal texture information at different angles is not equal to 0, the system will issue a voice alarm, record it in real time through a data recorder, and capture abnormal retinal lesion images in real time through a camera. It can analyze the lesion differences in real time according to the texture structure of the retina at different positions and angles of diabetic patients, which can further improve the accuracy of retinal difference analysis of diabetic patients.

[0029] Embodiment 3 Please refer to Figure 4 As shown: Based on the first embodiment, the formula generation end includes a data receiving module, a traditional Chinese medicine formula module, a data evaluation module and a combined display module; The data receiving module is used for receiving data in real time through a data receiver; The Chinese medicine formula module includes the difference values ​​of the retinal texture information comparison at different positions of the standard formula unit and the lesion matching unit, as well as the angle deviation of the retinal texture information at different angles, which are recorded in real time by a data recorder; The standard formula unit is used to set Chinese medicine formulas with different dosages and different medication cycles according to diabetic retinopathy; The lesion matching unit is used to match the Chinese medicine formula in real time according to the difference values ​​of the retinal texture information comparison at different positions and the angle deviation of the retinal texture information at different angles, combined with different dosages and different medication cycles.

[0030] The data evaluation module is used to automatically generate a Chinese medicine formula report for treating diabetic patients based on the difference values ​​of the retinal texture information comparison at different positions and the angle deviation of the retinal texture information at different angles; The combined display module is used to visualize the Chinese medicine formula in real time through a computer, and to simultaneously display the differential analysis data results of diabetic retinopathy in Traditional Chinese Medicine during the visualization. It is recorded in real time by a data recorder, and abnormal images of retinal lesions are captured in real time by a camera. When performing differential analysis of the retina of diabetic patients, it can not only evaluate the differential analysis results of retinal lesions and generate data, but also automatically generate Chinese medicine formulas for treating diabetic patients based on the differential analysis data, thereby reducing the limitations of the differential analysis scheme for diabetic retinopathy.

[0031] In the present invention, a differential analysis system and method of diabetic retinopathy in traditional Chinese medicine based on artificial intelligence is provided. When the system is in operation, the IP address information of the remote control area server for differential analysis is first configured; the real-time adjustment end is entered, and the retinal texture of the diabetic patient is detected in real time, a retinal image is automatically generated, a standard retinal texture is set, and the retinal comparison is scaled or enlarged in real time according to the size of the patient's retina, the retinal texture is moved in real time according to the retinal texture, and whether the color of the retinal texture is abnormal is judged in real time. The retinal texture of the diabetic patient is detected in real time, and the retinal image texture information of the diabetic patient is automatically generated through an image converter, the standard retinal texture is set, and the retinal comparison texture is scaled or enlarged in real time according to the size of the patient's retina, the retinal texture is moved in real time to overlap with the standard retinal texture, and whether the color of the retinal texture is abnormal is judged in real time according to the color difference, so that when performing differential analysis of diabetic retinopathy, the retinal comparison image can be scaled or enlarged in real time according to the size of the retina of different patients, thereby increasing the accuracy of differential analysis of retinal lesions, reducing the limitations existing in differential analysis of diabetic retinopathy of different patients, and increasing the convenience of differential analysis of diabetic retinopathy; the differential analysis end is entered, through the retinal image, and the different retinal texture comparisons of diabetic patients are adjusted in real time. The invention can detect whether the patient has retinopathy in real time by analyzing the difference of lesions according to the texture structure of different positions and different angles of the retina of diabetic patients in real time, and detect whether the patient has retinopathy in real time by receiving the retinal texture comparison results of diabetic patients in real time, adjusting the texture structure of different positions and different angles of the retina texture comparison of diabetic patients in real time, and analyzing the difference of lesions in real time, so as to detect whether the patient has retinopathy in real time, increase the comprehensiveness of diabetic retinopathy detection, and analyze the difference of lesions in real time according to the texture structure of different positions and different angles of the retina of diabetic patients, so as to further improve the accuracy of the difference analysis of the retina of diabetic patients; enter the formula generation end, automatically generate the Chinese medicine formula for treating diabetic patients according to the difference data of retinopathy, and automatically visualize the Chinese medicine formula in combination with the evaluation data, by receiving the difference data of retinopathy in real time, and based on the standard Chinese medicine formula set for different lesions according to the difference data of retinopathy, automatically generate the Chinese medicine formula for treating diabetic patients, and visualize the Chinese medicine formula in combination with the evaluation data in real time on the computer page, so that when the system performs the difference analysis of the retina of diabetic patients, it can not only evaluate the difference analysis results of retinopathy and generate data, but also automatically generate the Chinese medicine formula for treating diabetic patients according to the difference analysis data, so as to reduce the limitations of the difference analysis scheme of diabetic retinopathy.

[0032] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. The differential analysis system of TCM diabetic retinopathy based on artificial intelligence is characterized by: The system includes a real-time adjustment end, a difference analysis end, and a recipe generation end; The real-time adjustment end is used to detect the retinal texture of the diabetic patient in real time, automatically generate the retinal image texture information of the diabetic patient through the image converter, set the standard retinal texture, and scale or expand the retinal comparison texture in real time according to the size of the patient's retina, move the retinal texture in real time to overlap with the standard retinal texture, and judge whether the retinal texture color is abnormal in real time according to the color difference; The difference analysis end is used to receive the retinal texture comparison results of the diabetic patient in real time, adjust the texture structures of different positions and angles of the retinal texture comparison of the diabetic patient in real time, track the retinal texture comparison position and comparison angle in real time, and analyze the lesion difference to detect whether the patient has retinal lesions in real time; The formula generation end is used to receive real-time retinal lesion difference data, and based on the retinal lesion difference data and the standard Chinese medicine formula set for different lesions, automatically generate a Chinese medicine formula report for treating diabetic patients, and combine the Chinese medicine formula report with the evaluation data to display it in real-time on a computer page, thereby realizing the difference analysis of diabetic retinopathy in traditional Chinese medicine based on artificial intelligence.

2. The system according to claim 1, characterized in that: The real-time adjustment terminal includes a data detection module, an information acquisition module and an adjustment tracking module; The data detection module includes a retinal texture unit and a multi-position recording unit; The retinal texture unit is used to capture the retinal texture data of the diabetic patient in real time through the Eye print ID, and record it in real time through the data recorder; The multi-position recording unit is used to set a plurality of positions for capturing the retinal texture of the diabetic patient, and to record the corresponding positions for capturing the retinal texture of the diabetic patient in real time through a data recorder.

3. The system according to claim 2, characterized in that: The information acquisition module includes a standard data unit and an image generation unit; The standard data unit is used to set standard retinal texture information according to retinal data of a normal object; The image generating unit is used to generate images of the retinal textures of the diabetic patient captured at multiple positions in real time by an image generator to obtain the retinal texture image information of the patient.

4. The system according to claim 3, characterized in that: The adjustment tracking module includes a zooming and enlarging unit, a retina comparison unit, a real-time movement unit and a color judgment unit; The zooming and enlarging unit is used to reduce or enlarge the texture comparison range between the retinal texture image information and the standard retinal texture information in real time through the touch screen technology; The retinal comparison unit is used to compare retinal texture information in real time in combination with different positions. The comparison formula is as follows: ； in, Represents the retinal texture information comparison data value at different locations, Represents the standard value of retinal texture information at the corresponding moment, Represents the basic value of the retinal texture information at the corresponding moment, Represents the basic data of the retinal texture information of the corresponding position tracked, Standard data representing retinal texture information at corresponding positions; If the calculated = 0, the tracked shrinking or enlarging retinal texture operation is judged to be normal. ≠0, it is determined that the tracked reduced or enlarged retinal texture operation is executed abnormally; The real-time moving unit is used to adjust the comparison position of the retinal texture information in real time through the touch screen technology; The color judgment unit is used to calculate the retinal texture information and the color difference value ΔE, and set the color difference threshold. The calculation formula of ΔE is as follows: △E=[(△L)^2+(△a)^2+(△b )^2]^0.5; Among them, △L, △a and △b represent the difference between two colors on the three axes of L, a and b respectively, △E represents the difference between the retinal texture information and the standard retinal texture information, and the difference value is calculated with the color difference threshold. If the difference calculation result is greater than or equal to 0.5 or less than or equal to -0.5, it means that the retinal texture information retinopathy is abnormal. If the difference calculation result is less than 0.5 and greater than -0.5, it means that the retinal texture information retinopathy is normal.

5. The system according to claim 1, characterized in that: The difference analysis end includes a comparison adjustment module, a real-time comparison module and a lesion tracking module; The comparison and adjustment module includes different position units and different texture units; The different position units are used to calculate the difference between the retinal texture information and the standard retinal texture information in combination with different positions; The different texture units are used to calculate the difference between the retinal texture information and the standard retinal texture information in combination with different texture routes.

6. The system according to claim 5, characterized in that: The real-time comparison module includes a position comparison unit and an angle comparison unit; The position comparison unit is used to calculate the retinal texture information comparison difference value at different positions in real time, and the calculation formula is as follows: S=D_min-d_max, where S represents the difference value of retinal texture information comparison at different positions, D_min represents the minimum diameter of position comparison, and d_max represents the maximum diameter of position comparison; The angle comparison unit is used to calculate in real time whether there is an angle deviation in the comparison of retinal texture information at different angles, and the standard retinal texture angle at the corresponding position is set as the center point. The calculation method is as follows: △θ=| -β|, where △θ represents the angle deviation of retinal texture information at different angles. represents the current angle corresponding to the retinal texture information comparison, β represents the standard angle corresponding to the retinal texture information comparison, if △θ is not equal to 0, it means that the retinal lesion is abnormal, if △θ is equal to 0, the retinal lesion is normal.

7. The system according to claim 6, characterized in that: The lesion tracking module includes a lesion determination unit and a lesion early warning unit; The lesion determination unit is used to analyze retinal lesions based on the comparison difference values ​​of retinal texture information at different positions and the angle deviations of retinal texture information at different angles; The lesion warning unit is used to report that when the comparison difference value of retinal texture information at different positions is not equal to 0, and the angle deviation of retinal texture information at different angles is not equal to 0, the reporting system will issue a voice alarm, record in real time through a data recorder, and capture abnormal retinal lesion images in real time through a camera.

8. The system according to claim 1, characterized in that: The formula generation end includes a data receiving module, a traditional Chinese medicine formula module, a data evaluation module and a combined display module; The data receiving module is used for receiving data in real time through a data receiver; The Chinese medicine formula module includes the difference value of the comparison of retinal texture information at different positions of the standard formula unit and the lesion matching unit and the angle deviation of retinal texture information at different angles, and records them in real time through a data recorder; The standard formula unit is used to set Chinese medicine formulas with different dosages and different medication cycles according to diabetic retinopathy; The lesion matching unit is used to match the Chinese medicine formula in real time according to the difference values ​​of the retinal texture information comparison at different positions and the angle deviation of the retinal texture information at different angles, combined with different dosages and different medication cycles.

9. The system according to claim 8, characterized in that: The data evaluation module is used to automatically generate a Chinese medicine formula report for treating diabetic patients based on the difference values ​​of the retinal texture information comparison at different positions and the angle deviation of the retinal texture information at different angles; The combined display module is used to visualize the Chinese medicine formula in real time through a computer, and simultaneously display the difference analysis data results of TCM diabetic retinopathy during the visualization.

10. A method for differential analysis of diabetic retinopathy in traditional Chinese medicine based on artificial intelligence, applicable to a system for differential analysis of diabetic retinopathy in traditional Chinese medicine based on artificial intelligence according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Configure the IP address information of the remote control area server for difference analysis; Step 2: Enter the real-time adjustment terminal, detect the retinal texture of diabetic patients in real time, automatically generate retinal images, set standard retinal textures, and scale or enlarge the retina in real time according to the size of the patient's retina, move in real time according to the retinal texture, and judge in real time whether the retinal texture color is abnormal; Step 3: Enter the difference analysis terminal, use the retinal image, and adjust the texture structure of different positions and angles of the retinal texture comparison of diabetic patients in real time to analyze the lesion difference in real time, and detect whether the patient has retinal lesions in real time; Step 4: Enter the formula generation end, automatically generate a traditional Chinese medicine formula for treating diabetic patients based on the retinal lesion difference data, and automatically visualize the traditional Chinese medicine formula combined with the evaluation data.

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