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This paper is in the following e-collection/theme issue:

Short Paper (2) Applications of AI (344) Ethical, Legal, and Social Issues in AI (123) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (104) Artificial Intelligence (2347) New Methods (1179) Artificial Intelligence (AI) in Medical Education (231) Responsible Health AI (85)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56891, first published .
Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias

Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias

Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias

Authors of this article:

Philip Sutera1 Author Orcid Image ;   Rohini Bhatia2 Author Orcid Image ;   Timothy Lin3 Author Orcid Image ;   Leslie Chang4 Author Orcid Image ;   Andrea Brown5 Author Orcid Image ;   Reshma Jagsi2 Author Orcid Image
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Journals

  1. Heley K, Hom J, Laestadius L. AI-Generated Images of Substance Use and Recovery: Mixed Methods Case Study. JMIR AI 2026;5:e81977 View