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

Journals

  1. Mehrali T, Cotte F, Wicks P, Gilbert S. Response to Ben-Shabat et al.’s “Assessing data gathering of chatbot based symptom checkers – A clinical vignettes study”. International Journal of Medical Informatics 2023;170:104961 View
  2. Brun C, Zerhouni O, Akinyemi A, Houtin L, Monvoisin R, Pinsault N. Impact of uncertainty intolerance on clinical reasoning: A scoping review of the 21st‐century literature. Journal of Evaluation in Clinical Practice 2023;29(3):539 View
  3. Stengel F, Stienen M, Ivanov M, Gandía-González M, Raffa G, Ganau M, Whitfield P, Motov S. Can AI pass the written European Board Examination in Neurological Surgery? - Ethical and practical issues. Brain and Spine 2024;4:102765 View
  4. Avnat E, Samin M, Ben Joya D, Schneider E, Yanko E, Eshel D, Ovadia S, Lev Y, Souroujon D. The Potential of Evidence-Based Clinical Intake Tools to Discover or Ground Prevalence of Symptoms Using Real-Life Digital Health Encounters: Retrospective Cohort Study. Journal of Medical Internet Research 2024;26:e49570 View