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

Computer-Aided Diagnosis (39) Clinical Information and Decision Making (712) Artificial Intelligence (477) Decision Support for Health Professionals (594) Clinical Informatics (412) New Technologies (19) Quality Improvement (146)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32507, first published .
Assessing the Performance of a New Artificial Intelligence–Driven Diagnostic Support Tool Using Medical Board Exam Simulations: Clinical Vignette Study

Assessing the Performance of a New Artificial Intelligence–Driven Diagnostic Support Tool Using Medical Board Exam Simulations: Clinical Vignette Study

Assessing the Performance of a New Artificial Intelligence–Driven Diagnostic Support Tool Using Medical Board Exam Simulations: Clinical Vignette Study

Authors of this article:

Niv Ben-Shabat 1, 2, 3 Author Orcid Image ;   Ariel Sloma 1, 3 Author Orcid Image ;   Tomer Weizman 3, 4 Author Orcid Image ;   David Kiderman 5 Author Orcid Image ;   Howard Amital 1, 2, 6 Author Orcid Image
Article Authors Cited by Tweetations (5) Metrics
Niv Ben-Shabat 1, 2, 3, MD, MPH;  Ariel Sloma 1, 3, MD;  Tomer Weizman 3, 4, MD;  David Kiderman 5, MD;  Howard Amital 1, 2, 6, MD, MHA

1 Sackler Faculty of Medicine, Tel-Aviv University , Tel-Aviv , IL

2 Department of Medicine ‘B’, Sheba Medical Center , Ramat Gan , IL

3 Kahun Medical Ltd , Tel-Aviv , IL

4 The Rappaport Faculty of Medicine, Technion Israel Institute of Technology , Haifa , IL

5 Hadassah Faculty of Medicine, The Hebrew University , Jerusalem , IL

6 The Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center , Ramat Gan , IL

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