Collaborations & Partnerships


The Division of AI advances its mission through partnerships with leading academic institutions, industry innovators, and research organizations committed to safe, effective clinical AI.

Our Partners

ARISE AI Research Consortium

ARISE brings together researchers across institutions at the intersection of medicine, technology, and real-world impact, developing safe and reliable clinical AI systems through open science research.

Clinical AI Safety Open Science Benchmarking
Visit ARISE AI
RESQUE-NET Industry Partner

RESQUE-Net is a coalition of health system emergency department researchers aimed squarely at understanding our changing unscheduled and acute care systems through local analysis of EHR data with aligned analyses. Results are then shared to a central team which analyzes them through aggregation and when appropriate meta-analytic techniques.

Operational Efficiency Local Analysis National Insight
Visit RESQUE-NET
UVA EM Research Academic Partner

The University of Virginia Emergency Medicine Research program collaborates with the Division on multi-site clinical AI studies, enabling validation of AI tools across diverse patient populations and care settings.

Multi-site Research Clinical Validation Emergency Medicine
Visit UVA EM Research
Harvard Medical School Academic & Education Partner

As a teaching hospital of Harvard Medical School, the Division partners with HMS on continuing medical education, faculty development, and translational research connecting clinical AI innovation to the broader academic medicine community.

CME & Education Translational Research Faculty Development
Visit Harvard Medical School