AI/ML for Clinical Care
Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AI
The CHoRUS team is building an ethically sourced, AI-ready dataset to advance recovery from acute illness and improve clinical care. Our experts from 20 academic institutions work across disciplines to harmonize multimodal hospital data—EHRs, imaging, waveforms, and clinical text—using unified standards.
Meet the team behind CHoRUS, or learn more about the research driving it forward.
Who We Are
Eric Rosenthal
Massachusetts General Hospita
Azra Bihorac
University of Florida
Gilles Clermont
Principal Investigator
University of Pittsburgh
Gari Clifford
Principal Investigator
Emory University
Ashley Cordes
Principal Investigator
University of Oregon
Xiao Hu
Emory University
Rishi Kamaleswaran
Principal Investigator
Emory University
Randall Moorman
Principal Investigator
University of Virginia
Parisa Rashidi
Principal Investigator
University of Florida
Cynthia Rudin
Duke University
Yulia Levites Strekalova
Principal Investigator
University of Florida
Andrew Williams
Principal Investigator
Tufts CTSI
Ishan Williams
Principal Investigator
University of Virginia
Edilberto Amorim
University of California San Francisco
Leo Celi
BIDMC/MIT
Barbara Evans
University of Florida
Mona Flores
Co-Investigator
NVIDIA Medical AI
Quanzheng Li
Massachusetts General Hospital
Hongfang Liu
UT Health
Soojin Park
Columbia University
Elizabeth Shenkman
Co-Investigator
University of Florida
Paul Vespa
University of California Los Angeles
Michael Young
Massachusetts General Hospital