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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (69) Chatbots and Conversational Agents (473) Generative Language Models Including ChatGPT (218) Clinical Information and Decision Making (1339) Decision Support for Health Professionals (1145) Machine Learning (1400) Artificial Intelligence (1214)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51391, first published .
Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models

Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models

Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models

Authors of this article:

Tassallah Abdullahi1 Author Orcid Image ;   Ritambhara Singh1, 2 Author Orcid Image ;   Carsten Eickhoff3 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Journals

  1. Cheng J. Applications of Large Language Models in Pathology. Bioengineering 2024;11(4):342 View
  2. Bragazzi N, Garbarino S. Toward Clinical Generative AI: Conceptual Framework. JMIR AI 2024;3:e55957 View
  3. Abdullahi T, Mercurio L, Singh R, Eickhoff C. Retrieval-Based Diagnostic Decision Support: Mixed Methods Study. JMIR Medical Informatics 2024;12:e50209 View
  4. Oami T, Okada Y, Nakada T. Performance of a Large Language Model in Screening Citations. JAMA Network Open 2024;7(7):e2420496 View
  5. Fabijan A, Zawadzka-Fabijan A, Fabijan R, Zakrzewski K, Nowosławska E, Polis B. Assessing the Accuracy of Artificial Intelligence Models in Scoliosis Classification and Suggested Therapeutic Approaches. Journal of Clinical Medicine 2024;13(14):4013 View