Chinese Medicine in the Era of Artificial Intelligence: Challenges and Development Prospects.

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Title: Chinese Medicine in the Era of Artificial Intelligence: Challenges and Development Prospects.
Authors: Wang, Chaoyu (AUTHOR), Dai, Guowei (AUTHOR), Luo, Yue (AUTHOR), Wen, Chuanbiao (AUTHOR), Tang, Qingfeng (AUTHOR)
Source: American Journal of Chinese Medicine. 2025, Vol. 53 Issue 2, p353-384. 32p.
Subjects: Chinese medicine, Humanism, Artificial intelligence, Decision making, Emotions, Drug development, Health education, Professional competence
Abstract: Traditional Chinese medicine (TCM) has protected the health of Chinese people for thousands of years. With the rapid development of artificial intelligence (AI), various fields of TCM are facing both opportunities and challenges. This review discusses the development prospects and challenges of Chinese medicine in the AI era, emphasizing that AI, as an important tool in the process of Chinese medicine healthcare services, can assist doctors in making objective, rational and professional treatment decisions, and that AI has a strong potential for development in the field of Chinese medicine. However, the emotions, complex thoughts, and humanistic values of doctors are qualities that AI is currently unable to realize, so as the dominant player, the doctor is indispensable to the medical process. By summarizing and analyzing the current development status of AI in diagnosis, drug research, health management and education in TCM, this paper reveals the development prospects and potential risks of combining TCM with AI, and suggests that AI is an important aid for modernizing and improving the quality of TCM medical care in a coordinated manner. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Chinese Medicine is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Chinese Medicine in the Era of Artificial Intelligence: Challenges and Development Prospects.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Chaoyu%22">Wang, Chaoyu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dai%2C+Guowei%22">Dai, Guowei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Yue%22">Luo, Yue</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wen%2C+Chuanbiao%22">Wen, Chuanbiao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang%2C+Qingfeng%22">Tang, Qingfeng</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Chinese+Medicine%22">American Journal of Chinese Medicine</searchLink>. 2025, Vol. 53 Issue 2, p353-384. 32p.
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  Data: <searchLink fieldCode="DE" term="%22Chinese+medicine%22">Chinese medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Humanism%22">Humanism</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+development%22">Drug development</searchLink><br /><searchLink fieldCode="DE" term="%22Health+education%22">Health education</searchLink><br /><searchLink fieldCode="DE" term="%22Professional+competence%22">Professional competence</searchLink>
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  Label: Abstract
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  Data: Traditional Chinese medicine (TCM) has protected the health of Chinese people for thousands of years. With the rapid development of artificial intelligence (AI), various fields of TCM are facing both opportunities and challenges. This review discusses the development prospects and challenges of Chinese medicine in the AI era, emphasizing that AI, as an important tool in the process of Chinese medicine healthcare services, can assist doctors in making objective, rational and professional treatment decisions, and that AI has a strong potential for development in the field of Chinese medicine. However, the emotions, complex thoughts, and humanistic values of doctors are qualities that AI is currently unable to realize, so as the dominant player, the doctor is indispensable to the medical process. By summarizing and analyzing the current development status of AI in diagnosis, drug research, health management and education in TCM, this paper reveals the development prospects and potential risks of combining TCM with AI, and suggests that AI is an important aid for modernizing and improving the quality of TCM medical care in a coordinated manner. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of American Journal of Chinese Medicine is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1142/S0192415X25500144
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      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 353
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      – SubjectFull: Chinese medicine
        Type: general
      – SubjectFull: Humanism
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Emotions
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      – SubjectFull: Drug development
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      – SubjectFull: Health education
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      – SubjectFull: Professional competence
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      – TitleFull: Chinese Medicine in the Era of Artificial Intelligence: Challenges and Development Prospects.
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            NameFull: Wang, Chaoyu
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            NameFull: Dai, Guowei
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            NameFull: Luo, Yue
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            NameFull: Wen, Chuanbiao
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            NameFull: Tang, Qingfeng
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              M: 02
              Text: 2025
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              Y: 2025
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