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

Viewpoints on and Experiences with Digital Technologies in Health (79) Decision Support for Health Professionals (1185) Artificial Intelligence (1371) Health Informatics Education and Training (53)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34304, first published .
Tempering Expectations on the Medical Artificial Intelligence Revolution: The Medical Trainee Viewpoint

Tempering Expectations on the Medical Artificial Intelligence Revolution: The Medical Trainee Viewpoint

Tempering Expectations on the Medical Artificial Intelligence Revolution: The Medical Trainee Viewpoint

Authors of this article:

Zoe Hu1 Author Orcid Image ;   Ricky Hu1, 2 Author Orcid Image ;   Olivia Yau3 Author Orcid Image ;   Minnie Teng3 Author Orcid Image ;   Patrick Wang1 Author Orcid Image ;   Grace Hu4 Author Orcid Image ;   Rohit Singla2, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Klimova B, Pikhart M, Kacetl J. Ethical issues of the use of AI-driven mobile apps for education. Frontiers in Public Health 2023;10 View
  2. Handra J, James H, Mbilinyi A, Moller-Hansen A, Andrade J, Deyell M, Hague C, Hawkins N, Ho K, Hu R, Leipsic J, O'Riley C, Tam R. The Role of Machine Learning in the Detection of Cardiac Fibrosis from Electrocardiogram: A Scoping Review (Preprint). JMIR Cardio 2024 View

Books/Policy Documents

  1. Abdulhay D. Artificial Intelligence Approaches to Sustainable Accounting. View