Integration of traditional Chinese medicine and machine learning: Opportunities, obstacles, and implications for future of healthcare

Xian Huang; Hui Hwang Goh; Ting-Ting He; Dong-dong Zhang; Wei Dai; Tonni Agustiono Kurniawan; Kai Chen Goh; HY Wong; Mohammad Tariqul Islam; Xue Liang

doi:10.1016/j.joim.2026.02.004

February 1, 2026Journal of Integrative Medicine

Integration of traditional Chinese medicine and machine learning: Opportunities, obstacles, and implications for future of healthcare

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Key Points

Opting for machine learning enhances the efficacy of traditional Chinese medicine in identifying biomarkers and interventions, leading to improved patient outcomes.
The study reveals that machine learning algorithms can optimize treatment protocols based on traditional Chinese medicine, emphasizing personalized healthcare.
Analysis of existing practices shows potential integration strategies while addressing obstacles to adoption in modern healthcare settings.
The findings highlight the need for more comprehensive studies to validate the effectiveness of integrated approaches in diverse clinical environments.

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Implication

Observational analysis reveals opportunities and obstacles in integrating traditional Chinese medicine and machine learning, highlighting potential healthcare advancements.

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Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/69a76213c6e9836116a30281 https://doi.org/10.1016/j.joim.2026.02.004

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Integration of traditional Chinese medicine and machine learning: Opportunities, obstacles, and implications for future of healthcare

Key Points

No abstract yet

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Implication

Discussion

Cite This Study

Integration of traditional Chinese medicine and machine learning: Opportunities, obstacles, and implications for future of healthcare

Key Points

No abstract yet

Ask about this paper

Implication

Discussion

Cite This Study

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