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

Short Paper (5) Machine Learning (1759) Undergraduate Education for Future Healthcare Professionals (46) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (148)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63602, first published .
Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study

Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study

Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study

Authors of this article:

Michael Steven Yao1, 2, 3 Author Orcid Image ;   Lawrence Huang3, 4 Author Orcid Image ;   Emily Leventhal3, 5 Author Orcid Image ;   Clara Sun3, 6 Author Orcid Image ;   Steve J Stephen3, 7, 8 Author Orcid Image ;   Lathan Liou3, 5 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Michael Steven Yao   1, 2, 3 , BS ;   Lawrence Huang   3, 4 * , BS ;   Emily Leventhal   3, 5 * , BA ;   Clara Sun   3, 6 , BS ;   Steve J Stephen   3, 7, 8 , MBA ;   Lathan Liou   3, 5 , MPhil

1 Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States

3 MDplus, New York, NY, United States

4 Warren Alpert Medical School, Brown University, Providence, RI, United States

5 Icahn School of Medicine at Mount Sinai, New York, NY, United States

6 School of Medicine, Case Western Reserve University, Cleveland, OH, United States

7 School of Medicine and Dentistry, University of Rochester, Rochester, NY, United States

8 Simon Business School, University of Rochester, Rochester, NY, United States

*these authors contributed equally

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