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Chronic disease auxiliary diagnosis system based on AI guidance

A technology for assisting diagnosis and chronic diseases. It is used in diagnosis, medical automatic diagnosis, computer-aided medical procedures, etc. It can solve the problems of inconvenience for doctors to understand the diagnosis results and the inability to give the size of the lesions, so as to facilitate subsequent calls, improve diagnosis efficiency, The effect of improving diagnostic accuracy

Pending Publication Date: 2020-10-16
CIXI INST OF BIOMEDICAL ENG NINGBO INST OF MATERIALS TECH & ENG CHINESE ACAD OF SCI +1
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Problems solved by technology

The above-mentioned patents can only give what lesion the patient is suffering from, and cannot give the size of the lesion through biomarker parameters, which is inconvenient for doctors to understand the diagnosis results

Method used

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  • Chronic disease auxiliary diagnosis system based on AI guidance

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Embodiment Construction

[0026] The following are specific embodiments of the present invention and in conjunction with the accompanying drawings, the technical solutions of the present invention are further described, but the present invention is not limited to these embodiments.

[0027] see figure 1 The AI-guided auxiliary diagnosis system for chronic diseases in this embodiment includes a first acquisition unit 1 for acquiring ophthalmic images, a preprocessing unit 2 for processing ophthalmic images into data to be analyzed, and a The AI ​​algorithm processing unit 3 for analyzing and processing the data to be analyzed into diagnostic information, and the output unit 4 for outputting the diagnostic information. The diagnostic information includes diagnostic results and abnormal biomarker parameters.

[0028]Here, the first acquisition unit 1 collects ophthalmic images, and the preprocessing unit 2 processes the ophthalmic images into data to be analyzed, which is convenient for subsequent process...

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Abstract

The invention provides a chronic disease auxiliary diagnosis system based on AI guidance, and belongs to the technical field of disease auxiliary diagnosis. The chronic disease auxiliary diagnosis system based on AI guidance comprises a first acquisition unit, a preprocessing unit, an AI algorithm processing unit and an output unit. The first acquisition unit acquires ophthalmic images; the preprocessing unit processes the ophthalmic image into to-be-analyzed data, so that subsequent processing of the AI algorithm processing unit is facilitated; the AI algorithm processing unit analyzes and processes the to-be-analyzed data into diagnosis information through an AI algorithm; the output unit outputs the diagnosis information; the diagnosis information comprises a diagnosis result and abnormal biomarker parameters; therefore, a doctor can know the disease type of the patient through the diagnosis result; the abnormal biomarker parameters can be used for helping doctors to evaluate the follow-up visit change trend of the user and predict the subsequent lesion development, and more comprehensive diagnosis suggestions are provided for the doctors.

Description

technical field [0001] The invention belongs to the technical field of auxiliary diagnosis of diseases, and relates to an auxiliary diagnosis system for chronic diseases guided by AI. Background technique [0002] Chronic diseases mainly include diabetes, hypertension, senile dementia, cardiovascular disease, chronic kidney disease, etc., and the deaths caused by chronic diseases account for about 86% of the total deaths. Chronic diseases are not only harmful to human health, but also have great harm to society and economy. Every year, the country needs to spend a lot of health expenses on the diagnosis and treatment of chronic diseases. The fundus retina is the only part of the whole body that can directly and intensively observe arteries, veins and capillaries in a living body. These blood vessels can reflect the dynamics and health status of human blood circulation throughout the body. Retinopathy is a hallmark feature of many chronic diseases, so fundus examination not o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H30/20G06T7/00G06T7/10G06T3/40G06T7/33G06T5/00A61B3/10A61B3/12A61B3/14
CPCG16H50/20G16H30/20G06T7/0012G06T7/10G06T3/4038G06T7/33A61B3/102A61B3/12A61B3/1225A61B3/14G06T2207/10101G06T2207/20084G06T2207/20081G06T2207/30041G06T5/73
Inventor 谢林春杨建龙苏攀赵一天杨燕鹤胡衍岳星宇刘江
Owner CIXI INST OF BIOMEDICAL ENG NINGBO INST OF MATERIALS TECH & ENG CHINESE ACAD OF SCI
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