Exploration on the Current Situation and Strategy of the Research on the Objectification of Eye Diagnosis Based on the TCM Theory of"Syndrome Differentiation by Observing the Eyes"
10.19879/j.cnki.1005-5304.202402366
- VernacularTitle:基于中医"望目辨证"理论探讨目诊客观化研究现状及策略
- Author:
Xiaoshuo JING
1
;
Zhihua WEN
;
Qinghua PENG
;
Junfeng YAN
Author Information
1. 湖南中医药大学中医诊断学湖南省重点实验室,湖南 长沙 410208;湖南省智慧中医工程技术研究中心,湖南 长沙 410208
- Publication Type:Journal Article
- Keywords:
eye diagnosis;
five orbiculi;
viscera manifestation;
scleral vessels;
fundus;
eye movement;
objectification
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2025;32(5):13-18
- CountryChina
- Language:Chinese
-
Abstract:
As an important part of TCM diagnosis,eye diagnosis is of great significance and value in identifying the symptoms of diseases and predicting the regression of diseases.With the progress of science and technology,the research on"syndrome differentiation by observing the eyes"is gradually converging towards digitalization,standardization and objectification.Based on the theoretical foundation of"syndrome differentiation by observing the eyes",this article reviewed the modern clinical applications of objectifying eye diagnosis from aspects such as observing the scleral vessels,observing fundus signs,and observing eye movement information,and found that modern technological means such as eye diagnostic instrument,eye movement instrument and artificial intelligence algorithms have provided accurate and objective diagnostic bases for TCM syndrome differentiation by observing the eyes to identify the syndrome and have greatly promoted the development of the objectification of eye diagnosis.However,the objective application of eye diagnosis still faces challenges related to technology,data and standardization,calling for further in-depth research and the establishment of unified standards.Exploring the current research status and strategies can provide theoretical references for the objectification of TCM eye diagnosis and the improvement of clinical visual diagnosis accuracy.
