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

Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (109) Artificial Intelligence (1421) Clinical Information and Decision Making (1434) e-Learning and Digital Medical Education (705) Decision Support for Health Professionals (1210)

Published on in Vol 8, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38325, first published .
Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study

Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study

Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study

Authors of this article:

David Shalom Liu1 Author Orcid Image ;   Jake Sawyer1 Author Orcid Image ;   Alexander Luna1 Author Orcid Image ;   Jihad Aoun1 Author Orcid Image ;   Janet Wang1 Author Orcid Image ;   Lord Boachie1 Author Orcid Image ;   Safwan Halabi2 Author Orcid Image ;   Bina Joe3 Author Orcid Image
Article Authors Cited by (24) Tweetations (12) Metrics

David Shalom Liu   1 , MS, BS ;   Jake Sawyer   1 , BS ;   Alexander Luna   1 , BS ;   Jihad Aoun   1 , MS, BS ;   Janet Wang   1 , BS ;   Lord Boachie   1 , BS ;   Safwan Halabi   2 , MD ;   Bina Joe   3 , PhD

1 College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States

2 Pediatric Radiology, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, United States

3 Department of Physiology and Pharmacology, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States

Corresponding Author:

  • Bina Joe, PhD
  • Department of Physiology and Pharmacology
  • College of Medicine and Life Sciences
  • University of Toledo
  • 3000 Arlington Ave
  • Toledo, OH, 43614
  • United States
  • Phone: 1 419-383-4144
  • Email: bina.joe@utoledo.edu