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

Formative Evaluation of Digital Health Interventions (2410) Clinical Informatics (1022) Artificial Intelligence (1371) Digital Biomarkers and Digital Phenotyping (191) Development and Evaluation of Research Methods, Instruments and Tools (481) Machine Learning (1465) Decision Support for Health Professionals (1185) Clinical Information and Decision Making (1407) Computer-Aided Diagnosis (128) AI Applications in Biomedical Engineering (8)

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

Yukinori Harada   1, 2 , MD, PhD ;   Tetsu Sakamoto   1 , MD ;   Shu Sugimoto   3 , MD ;   Taro Shimizu   1 , MBA, MPH, MD, PhD

1 Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Shimotsuga, Japan

2 Department of General Medicine, Nagano Chuo Hospital, Nagano, Japan

3 Department of Medicine (Neurology and Rheumatology), Shinshu University School of Medicine, Matsumoto, Japan

Corresponding Author:

  • Yukinori Harada, MD, PhD
  • Department of Diagnostic and Generalist Medicine
  • Dokkyo Medical University
  • 880 Kitakobayashi
  • Shimotsuga, 321-0293
  • Japan
  • Phone: 81 282 86 1111
  • Email: yharada@dokkyomed.ac.jp