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Peer-reviewed work from the community.

MDplus is a community first, but enough of the work has clinical and academic value that it ends up in journals. This page tracks published work from Datathon outputs and member writing.

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The Datathon model, in a journal.

Peer-reviewedJMIR Medical Education· March 2025

Leveraging Datathons to Teach AI in Undergraduate Medical Education

Peer-reviewed validation of the MDplus Datathon as a model for teaching applied AI to medical trainees. Based on data and outcomes from the first three annual Datathons (2022–2024). The first published academic recognition of the MDplus model.

Read on JMIR Medical Education See the Datathon program

In the pipeline

What we expect to publish next.

The MDplus publication queue draws from two main sources: competition outputs and member-authored op-eds. Both are actively in motion.

Datathon papers

Each annual Datathon produces team submissions on real clinical datasets. Best work gets supported through publication; venues TBD per project.

Member-authored work

Op-ed writing groups in the Health Policy vertical target JAMA Viewpoints and NEJM Perspectives. Published pieces will land here.

Member-authored

Working on a paper or op-ed? Bring it to MDplus.

The Health Policy vertical runs op-ed writing groups targeting JAMA Viewpoints and NEJM Perspectives. The AI & Data community supports Datathon-derived submissions. Both start in Slack.

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