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Prioritizing human-AI collaboration in healthcare: the TRIAD framework for trustworthy governance, real-world, and integrated adaptive deployment
PERSPECTIVE | Updated：2026-03-06

    • Prioritizing human-AI collaboration in healthcare: the TRIAD framework for trustworthy governance, real-world, and integrated adaptive deployment

    • “The latest research in healthcare technology introduces the TRIAD framework. Experts established this system to guide the development, validation, and deployment of clinical AI. It ensures trustworthy governance, real-world clinical value, and integrated adaptive deployment, solving key challenges in AI integration and opening a new direction for healthcare AI research.”
    • Military Medical Research   Vol. 12, (2025)

    • DOI：10.1186/s40779-026-00684-w    

      CLC：

    • Received：17 August 2025，

      Accepted：28 January 2026，

      Online First：10 February 2026，

      Published：2025

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  • Jia Li, Zi-Chun Zhou, Zhen-Chang Wang, et al. Prioritizing human-AI collaboration in healthcare: the TRIAD framework for trustworthy governance, real-world, and integrated adaptive deployment[J/OL]. Military Medical Research, 2025, 12. DOI： 10.1186/s40779-026-00684-w.

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Related Author

Ning Li
Shu-Hang Wang
Ya-Le Jiang
Guo Zhao
Jian Song
Guang-Chao Wang
Si-Cheng Wang
Chong-Ru He

Related Institution

Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Department of Orthopedics, Trauma Orthopedics Center, Institute of Musculoskeletal Injury and Translational Medicine of Organoids, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
Department of Orthopedics, Shanghai Zhongye Hospital
Department of Orthopedics, Orthopedic Research Institution of Hebei Province, NHC Key Laboratory of Intelligent Orthopedic Equipment, The Third Hospital of Hebei Medical University
Institute of Translational Medicine, Organoid Research Center, National Center for Translational Medicine (Shanghai), Shanghai University Branch
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