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

Formative Evaluation of Digital Health Interventions (2491) Clinical Informatics (1050) Artificial Intelligence (1421) Digital Biomarkers and Digital Phenotyping (198) Development and Evaluation of Research Methods, Instruments and Tools (511) Machine Learning (1501) Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434) Computer-Aided Diagnosis (135) AI Applications in Biomedical Engineering (9)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53985, first published .
Longitudinal Changes in Diagnostic Accuracy of a Differential Diagnosis List Developed by an AI-Based Symptom Checker: Retrospective Observational Study

Longitudinal Changes in Diagnostic Accuracy of a Differential Diagnosis List Developed by an AI-Based Symptom Checker: Retrospective Observational Study

Longitudinal Changes in Diagnostic Accuracy of a Differential Diagnosis List Developed by an AI-Based Symptom Checker: Retrospective Observational Study

Authors of this article:

Yukinori Harada1, 2 Author Orcid Image ;   Tetsu Sakamoto1 Author Orcid Image ;   Shu Sugimoto3 Author Orcid Image ;   Taro Shimizu1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Hirosawa T, Harada Y, Tokumasu K, Ito T, Suzuki T, Shimizu T. Comparative Study to Evaluate the Accuracy of Differential Diagnosis Lists Generated by Gemini Advanced, Gemini, and Bard for a Case Report Series Analysis: Cross-Sectional Study. JMIR Medical Informatics 2024;12:e63010 View
  2. Hirosawa T, Harada Y, Tokumasu K, Shiraishi T, Suzuki T, Shimizu T. Comparative Analysis of Diagnostic Performance: Differential Diagnosis Lists by LLaMA3 Versus LLaMA2 for Case Reports. JMIR Formative Research 2024;8:e64844 View