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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84918, first published .
Factors Influencing Adoption of Large Language Models in Health Care: Multicenter Cross-Sectional Mixed Methods Observational Study

Factors Influencing Adoption of Large Language Models in Health Care: Multicenter Cross-Sectional Mixed Methods Observational Study

Factors Influencing Adoption of Large Language Models in Health Care: Multicenter Cross-Sectional Mixed Methods Observational Study

Journals

  1. Eshun I, Odai R, Alao G. Human-In-The-Loop Large Language Models for Decision Support in Modern Power Systems: Capabilities, Risks, and Governance. Journal of Trending Research 2026;1(1):8 View
  2. Zhang B, Yue Lau L, Wang K, Li K, Li B, Hong Z, Aldridge R, Whitmore E, Zhao Z, Chen Y. From algorithms to clinical execution: A cross-validated knowledge atlas of AI-enabled precision care (2015–2025). DIGITAL HEALTH 2026;12 View
  3. Bold B, Tokuda B, Kashif M, Fadzli F, Wee N, Kanwal U, Nguyễn T, Wah N. Radiologists’ perceived value and readiness for artificial intelligence in value-based radiology: a multicountry survey. Japanese Journal of Radiology 2026 View