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<p>Generative AI (GAI) is rapidly being explored across health professions education, yet its application remains fragmented. This scoping review maps the global landscape of GAI research across medicine, nursing, dentistry, pharmacy, and allied health education. Analyzing 517 publications dated January 2022 through September 2025, we identify a research surge dominated by GPT-family models, predominantly for education-material generation and item evaluation. Research engagement is broadening geographically but remains concentrated in higher-resource regions. The field is focused on technical feasibility and acceptability rather than pedagogical impact. This review provides a foundational landscape map for future GAI research in clinical education.</p>

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Generative AI Research in Health Professions Education: A Scoping Review

  • 期刊论文

  • 发表日期：

    2026年6月30日

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  • Ruthvik Edara,
  • Brianna Highum,
  • Rahul Damania,
  • Natalia Hakimzadeh,
  • Raghav Awasthi,
  • Shreya Mishra,
  • Rahul Kashyap,
  • Sai Prasad Ramachandran,
  • Anirban Bhattacharyya,
  • Avneesh Khare,
  • Avneep Aggarwal,
  • Loren Hackett,
  • Lama Nazer,
  • Piyush Mathur

摘要

Generative AI (GAI) is rapidly being explored across health professions education, yet its application remains fragmented. This scoping review maps the global landscape of GAI research across medicine, nursing, dentistry, pharmacy, and allied health education. Analyzing 517 publications dated January 2022 through September 2025, we identify a research surge dominated by GPT-family models, predominantly for education-material generation and item evaluation. Research engagement is broadening geographically but remains concentrated in higher-resource regions. The field is focused on technical feasibility and acceptability rather than pedagogical impact. This review provides a foundational landscape map for future GAI research in clinical education.