The enlightenment of artificial intelligence large-scale model on the research of intelligent eye diagnosis in traditional Chinese medicine
10.1016/j.dcmed.2024.09.001
- VernacularTitle:人工智能大模型对中医目诊智能化研究的启示
- Author:
Yuan GAO
1
,
2
;
Zixuan WU
;
Boyang SHENG
;
Fu ZHANG
;
Yong CHENG
;
Junfeng YAN
;
Qinghua PENG
Author Information
1. 湖南中医药大学中医学院,湖南长沙 410208,中国
2. 福建中医药大学附属人民医院治未病科,福建福州 350004,中国
- Keywords:
Traditional Chinese medicine(TCM);
Eye diagnosis;
Artificial intelligence(AI);
Large-scale model;
Self-supervised learning;
Deep neural network
- From:
Digital Chinese Medicine
2024;7(2):101-107
- CountryChina
- Language:Chinese
-
Abstract:
Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.
