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

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

Overview of the datathon event. The MDplus datathon ran for approximately 4 weeks and was loosely divided into two parts: (1) Team formation and project ideation and (2) project execution. We, the datathon organizing team, detail 2 datathon events organized by MDplus between 2023 and 2024, herein referred to as “the datathons.”

Michael Steven Yao, Lawrence Huang, Emily Leventhal, Clara Sun, Steve J Stephen, Lathan Liou

JMIR Med Educ 2025;11:e63602

Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon

Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon

Given these challenges, and the opportunities for growth in the utilization of EHRs for clinical research, we organized the first PLAGH-MIT clinical data conference and health datathon in Beijing, China on October 21-22, 2016. The word datathon originates from hackathon, a short but high-energy event in which teams generate innovative, technological solutions to real-world problems. Deviating from hackathons, datathons bring together people from diverse backgrounds around data.

Peiyao Li, Chen Xie, Tom Pollard, Alistair Edward William Johnson, Desen Cao, Hongjun Kang, Hong Liang, Yuezhou Zhang, Xiaoli Liu, Yong Fan, Yuan Zhang, Wanguo Xue, Lixin Xie, Leo Anthony Celi, Zhengbo Zhang

JMIR Med Inform 2017;5(4):e43