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

Formative Evaluation of Digital Health Interventions (2491) Clinical Informatics (1050) Clinical Information and Decision Making (1434) Chatbots and Conversational Agents (543) Artificial Intelligence (1421) Decision Support for Health Professionals (1210) mHealth for Diagnosis (63)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59267, first published .
Evaluating ChatGPT-4’s Accuracy in Identifying Final Diagnoses Within Differential Diagnoses Compared With Those of Physicians: Experimental Study for Diagnostic Cases

Evaluating ChatGPT-4’s Accuracy in Identifying Final Diagnoses Within Differential Diagnoses Compared With Those of Physicians: Experimental Study for Diagnostic Cases

Evaluating ChatGPT-4’s Accuracy in Identifying Final Diagnoses Within Differential Diagnoses Compared With Those of Physicians: Experimental Study for Diagnostic Cases

Authors of this article:

Takanobu Hirosawa1 Author Orcid Image ;   Yukinori Harada1 Author Orcid Image ;   Kazuya Mizuta1 Author Orcid Image ;   Tetsu Sakamoto1 Author Orcid Image ;   Kazuki Tokumasu2 Author Orcid Image ;   Taro Shimizu1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Dalal A, Plombon S, Konieczny K, Motta-Calderon D, Malik M, Garber A, Lam A, Piniella N, Leeson M, Garabedian P, Goyal A, Roulier S, Yoon C, Fiskio J, Schnock K, Rozenblum R, Griffin J, Schnipper J, Lipsitz S, Bates D. Adverse diagnostic events in hospitalised patients: a single-centre, retrospective cohort study. BMJ Quality & Safety 2024:bmjqs-2024-017183 View
  2. Barabucci G, Shia V, Chu E, Harack B, Laskowski K, Fu N. Combining Multiple Large Language Models Improves Diagnostic Accuracy. NEJM AI 2024;1(11) View