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

Chatbots and Conversational Agents (542) Clinical Information and Decision Making (1423) Adoption and Change Management of eHealth Systems (729) Machine Learning (1488) Natural Language Processing (703) Clinical Informatics (1042) Decision Support for Health Professionals (1201)

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 (33) Tweetations (3) Metrics

Journals

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  20. Shapiro J, Lyakhovitsky A. Revolutionizing teledermatology: Exploring the integration of artificial intelligence, including Generative Pre-trained Transformer chatbots for artificial intelligence-driven anamnesis, diagnosis, and treatment plans. Clinics in Dermatology 2024;42(5):492 View
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  22. Giacobbe D, Marelli C, Guastavino S, Signori A, Mora S, Rosso N, Campi C, Piana M, Murgia Y, Giacomini M, Bassetti M. Artificial intelligence and prescription of antibiotic therapy: present and future. Expert Review of Anti-infective Therapy 2024;22(10):819 View
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  24. Merlino D, Brufau S, Saieed G, Van Abel K, Price D, Archibald D, Ator G, Carlson M. Comparative Assessment of Otolaryngology Knowledge Among Large Language Models. The Laryngoscope 2024 View
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