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

Chatbots and Conversational Agents (463) Clinical Information and Decision Making (1328) Adoption and Change Management of eHealth Systems (674) Machine Learning (1384) Natural Language Processing (644) Clinical Informatics (912) Decision Support for Health Professionals (1137)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49324, first published .
Large Language Models for Therapy Recommendations Across 3 Clinical Specialties: Comparative Study

Large Language Models for Therapy Recommendations Across 3 Clinical Specialties: Comparative Study

Large Language Models for Therapy Recommendations Across 3 Clinical Specialties: Comparative Study

Authors of this article:

Theresa Isabelle Wilhelm1, 2 Author Orcid Image ;   Jonas Roos3 Author Orcid Image ;   Robert Kaczmarczyk4, 5 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

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  7. Bonnechère B. Unlocking the Black Box? A Comprehensive Exploration of Large Language Models in Rehabilitation. American Journal of Physical Medicine & Rehabilitation 2024;103(6):532 View
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  9. Leypold T, Lingens L, Beier J, Boos A. Integrating AI in Lipedema Management: Assessing the Efficacy of GPT-4 as a Consultation Assistant. Life 2024;14(5):646 View
  10. Tailor P, D'Souza H, Li H, Starr M. Vision of the future: large language models in ophthalmology. Current Opinion in Ophthalmology 2024 View
  11. Tan S, Xin X, Wu D. ChatGPT in medicine: prospects and challenges: a review article. International Journal of Surgery 2024;110(6):3701 View
  12. Goktas P, Gulseren D, Tobin A. Large Language and Vision Assistant in dermatology: a game changer or just hype?. Clinical and Experimental Dermatology 2024 View
  13. Letterie G. Moonshot. Long shot. Or sure shot. What needs to happen to realize the full potential of AI in the fertility sector?. Human Reproduction 2024 View
  14. Cong Y, LaCroix A, Lee J. Clinical efficacy of pre-trained large language models through the lens of aphasia. Scientific Reports 2024;14(1) View