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

Computer-Aided Diagnosis (102) Clinical Information and Decision Making (1340) Artificial Intelligence (1216) Decision Support for Health Professionals (1147) Clinical Informatics (919) New Technologies (67) Quality Improvement (226)

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-Shabat1, 2, 3 Author Orcid Image ;   Ariel Sloma1, 3 Author Orcid Image ;   Tomer Weizman3, 4 Author Orcid Image ;   David Kiderman5 Author Orcid Image ;   Howard Amital1, 2, 6 Author Orcid Image
Article Authors Cited by (4) 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, Israel

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

3 Kahun Medical Ltd, Tel-Aviv, Israel

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

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

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

Corresponding Author:

  • Niv Ben-Shabat, MD, MPH
  • Department of Medicine ‘B’
  • Sheba Medical Center
  • Sheba Road 2
  • Ramat Gan, 52621
  • Israel
  • Phone: 972 3 530 2652
  • Fax: 972 3 535 4796
  • Email: nivben7@gmail.com