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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (32) Artificial Intelligence (912) Viewpoint and Opinions on Innovation in Medical Education (39) Health Informatics Education and Training (39)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46344, first published .
Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care

Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care

Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care

Authors of this article:

Puneet Seth 1 Author Orcid Image ;   Nancy Hueppchen 2 Author Orcid Image ;   Steven D Miller 3 Author Orcid Image ;   Frank Rudzicz 4, 5, 6 Author Orcid Image ;   Jerry Ding 7 Author Orcid Image ;   Kapil Parakh 8 Author Orcid Image ;   Janet D Record 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (14) Metrics

Journals

  1. Jowsey T, Stokes-Parish J, Singleton R, Todorovic M. Medical education empowered by generative artificial intelligence large language models. Trends in Molecular Medicine 2023;29(12):971 View
  2. Khlaif Z, Mousa A, Hattab M, Itmazi J, Hassan A, Sanmugam M, Ayyoub A. The Potential and Concerns of Using AI in Scientific Research: ChatGPT Performance Evaluation. JMIR Medical Education 2023;9:e47049 View