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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (84) Generative Language Models Including ChatGPT (311) Clinical Information and Decision Making (1407) Artificial Intelligence (1371) Adoption and Change Management of eHealth Systems (712) Clinical Informatics (1022) Chatbots and Conversational Agents (531)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51199, first published .
Empathy and Equity: Key Considerations for Large Language Model Adoption in Health Care

Empathy and Equity: Key Considerations for Large Language Model Adoption in Health Care

Empathy and Equity: Key Considerations for Large Language Model Adoption in Health Care

Authors of this article:

Erica Koranteng1 Author Orcid Image ;   Arya Rao1 Author Orcid Image ;   Efren Flores1 Author Orcid Image ;   Michael Lev1 Author Orcid Image ;   Adam Landman1 Author Orcid Image ;   Keith Dreyer1 Author Orcid Image ;   Marc Succi2 Author Orcid Image
Article Authors Cited by (8) Tweetations (6) Metrics

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  3. Geantă M, Bădescu D, Chirca N, Nechita O, Radu C, Rascu S, Rădăvoi D, Sima C, Toma C, Jinga V. The Potential Impact of Large Language Models on Doctor–Patient Communication: A Case Study in Prostate Cancer. Healthcare 2024;12(15):1548 View
  4. Zhui L, Yhap N, Liping L, Zhengjie W, Zhonghao X, Xiaoshu Y, Hong C, Xuexiu L, Wei R. Impact of Large Language Models on Medical Education and Teaching Adaptations. JMIR Medical Informatics 2024;12:e55933 View
  5. Young C, Enichen E, Rivera C, Auger C, Grant N, Rao A, Succi M. Diagnostic Accuracy of a Custom Large Language Model on Rare Pediatric Disease Case Reports. American Journal of Medical Genetics Part A 2024 View
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