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Digital Diagnosis of Traditional Chinese Medicine Enabled by Artificial Intelligence：Status Quo and Challenges
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Yuman WANG1, Runxue SUN2, Xiaoyu LIU1, Hua LI1, Binqing XUE1, Xinqian ZHANG1, Jingfan LI1, Runze LI1, Yanru DU2, 3, 4
Chinese Archives of Traditional Chinese Medicine | 2026, 44(1) : 20 - 23
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Chinese Archives of Traditional Chinese Medicine | 2026, 44(1): 20-23
• Digital Traditional Chinese Medicin •
Digital Diagnosis of Traditional Chinese Medicine Enabled by Artificial Intelligence：Status Quo and Challenges
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Yuman WANG1, Runxue SUN2, Xiaoyu LIU1, Hua LI1, Binqing XUE1, Xinqian ZHANG1, Jingfan LI1, Runze LI1, Yanru DU2, 3, 4
Affiliations
  • 1.Graduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang 050091, Hebei, China
  • 2.Hebei Hospital of Traditional Chinese Medicine, Shijiazhuang 050011, Hebei, China
  • 3.Hebei Key Laboratory of Integrative Chinese and Western Medicine and Gastroenterology, Shijiazhuang 050011, Hebei, China
  • 4.Hebei Key Laboratory of Turbidity and Toxicology, Shijiazhuang 050011, Hebei, China
Published: 2026-01-10 doi: 10.13193/j.issn.1673-7717.2026.01.004
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At the advent of the era of digital intelligence represented by emerging technologies such as big data and artificial intelligence，the digital transformation of all walks of life represented by“artificial intelligence+”has become the general trend. Artificial intelligence enabling traditional Chinese medicine provides a new opportunity for traditional Chinese medicine to upgrade from“fuzzy”diagnosis and treatment mode to“accurate”diagnosis and treatment mode. Focusing on this cross-field，this paper elaborated the application status of artificial intelligence technology in mass data processing，auxiliary diagnosis and disease prediction from the perspective of TCM diagnosis differentiation. At the same time，artificial intelligence technology still faces many challenges in the practical application of traditional Chinese medicine，such as data quality problems caused by the complexity and irregularity of traditional Chinese medicine data，the limited interpretability of artificial intelligence algorithms in traditional Chinese medicine diagnosis，and the difficulties in the integration of traditional Chinese medicine theory and artificial intelligence. This paper discussed these status quo and challenges in depth，which was of great significance for promoting the further development and application of artificial intelligence in digital diagnosis of traditional Chinese medicine.

artificial intelligence  /  traditional Chinese medicine  /  digital diagnosis  /  current situation  /  challenge
王玉曼, 孙润雪, 刘晓雨, 李花, 薛滨清, 张心千, 李京璠, 李润泽, 杜艳茹. 人工智能赋能中医数字化诊断：现状与挑战. 中华中医药学刊, 2026 , 44 (1) : 20 -23 . DOI: 10.13193/j.issn.1673-7717.2026.01.004
Yuman WANG, Runxue SUN, Xiaoyu LIU, Hua LI, Binqing XUE, Xinqian ZHANG, Jingfan LI, Runze LI, Yanru DU. Digital Diagnosis of Traditional Chinese Medicine Enabled by Artificial Intelligence：Status Quo and Challenges[J]. Chinese Archives of Traditional Chinese Medicine, 2026 , 44 (1) : 20 -23 . DOI: 10.13193/j.issn.1673-7717.2026.01.004
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Year 2026 volume 44 Issue 1
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doi: 10.13193/j.issn.1673-7717.2026.01.004
  • Online Date：2026-10-14
  • Published：2026-01-10
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Affiliations
    1.Graduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang 050091, Hebei, China
    2.Hebei Hospital of Traditional Chinese Medicine, Shijiazhuang 050011, Hebei, China
    3.Hebei Key Laboratory of Integrative Chinese and Western Medicine and Gastroenterology, Shijiazhuang 050011, Hebei, China
    4.Hebei Key Laboratory of Turbidity and Toxicology, Shijiazhuang 050011, Hebei, China
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https://castjournals.cast.org.cn/joweb/zhzyyxk/EN/10.13193/j.issn.1673-7717.2026.01.004
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