收藏切换
Innovation Research on Traditional Chinese Medicine Eye Diagnosis Technology Assisted by Artificial Intelligence
收藏切换
Meng SONG1, Fei NI1, Jiamei LI1, Bingyuan ZHENG1, Kun YI2, Keda LI1, Ke FENG1
Chinese Archives of Traditional Chinese Medicine | 2026, 44(6) : 15 - 19
Less
收藏切换
Chinese Archives of Traditional Chinese Medicine | 2026, 44(6): 15-19
• Digital Traditional Chinese Medicine •
Innovation Research on Traditional Chinese Medicine Eye Diagnosis Technology Assisted by Artificial Intelligence
Full
Meng SONG1, Fei NI1, Jiamei LI1, Bingyuan ZHENG1, Kun YI2, Keda LI1, Ke FENG1
Affiliations
  • 1.Liaoning University of Traditional Chinese Medicine, Shenyang 110847, Liaoning, China
  • 2.Shenzhen Huili Medical Technology Equipment Co., Ltd., Shenzhen 518057, Guangdong, China
Published: 2026-06-10 doi: 10.13193/j.issn.1673-7717.2026.06.003
Outline
收藏切换

Traditional Chinese medicine (TCM) eye diagnosis, as one of the quintessences of TCM inspection, holds a significant role in clinical diagnosis. It also enjoys a solid theoretical foundation and a long history of development. The five-wheel and eight-region theories are the most important theories in TCM eye diagnosis. With the trend of TCM diagnosis objectivity, the modernization of TCM eye diagnosis has a strong development momentum. The author traced the evolution of TCM eye diagnosis theory, introduced the current technologies of eye diagnosis, and presented the team's latest research—TCM eye image recognition system. This system integrates TCM foundational eye diagnostic theory of “eight zones and eight acupoints” with detailed indicators from “four forms” and “eight colors” to establish a modern, precise framework for white eye image acquisition, processing and analysis by leveraging modern artificial intelligence (AI) technology. The paper outlined the construction of the eye diagnosis image recognition model, delved into the key technologies of system development, and proposed targeted solutions to existing challenges to promote the objectivity and precision of TCM diagnosis.

artificial intelligence (AI)  /  TCM eye diagnosis  /  diagnostic objectivity  /  OpenCV
宋梦, 倪菲, 李佳美, 郑冰元, 易堃, 李可大, 冯可. AI辅助中医眼诊技术创新研究. 中华中医药学刊, 2026 , 44 (6) : 15 -19 . DOI: 10.13193/j.issn.1673-7717.2026.06.003
Meng SONG, Fei NI, Jiamei LI, Bingyuan ZHENG, Kun YI, Keda LI, Ke FENG. Innovation Research on Traditional Chinese Medicine Eye Diagnosis Technology Assisted by Artificial Intelligence[J]. Chinese Archives of Traditional Chinese Medicine, 2026 , 44 (6) : 15 -19 . DOI: 10.13193/j.issn.1673-7717.2026.06.003
Year 2026 volume 44 Issue 6
80
15
Cite this Article
BibTeX
Article Info
doi: 10.13193/j.issn.1673-7717.2026.06.003
  • Online Date:2026-10-14
  • Published:2026-06-10
Article Data
Affiliations
History
Funding
Affiliations
    1.Liaoning University of Traditional Chinese Medicine, Shenyang 110847, Liaoning, China
    2.Shenzhen Huili Medical Technology Equipment Co., Ltd., Shenzhen 518057, Guangdong, China
References
Share
https://castjournals.cast.org.cn/joweb/zhzyyxk/EN/10.13193/j.issn.1673-7717.2026.06.003
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT