Machine Learning Steering Subcommittee


Responsible for prioritizing, coordinating, directing, and monitoring machine learning initiatives under the purview of the RIC. Member duties: participating in launch of RSNA machine learning challenges; assisting with writing white papers or manuscripts related to machine learning; advising RSNA staff on emerging technologies in artificial intelligence for medical imaging; providing direction and oversight of RSNA artificial intelligence activities

John Mongan, PhD, Chair
San Francisco, CA

Katherine P. Andriole, PhD, Member
Branford, CT

Errol Colak, MD, Member
Toronto, ON canada

Bradley J. Erickson, PhD, Member
Rochester, MN

Adam E. Flanders, MD, Member
Philadelphia, PA

Vikas Gulani, MD, PhD, Member
Ann Arbor, MI

Safwan Halabi, MD, Member
Chicago, IL

Jayashree Kalpathy-Cramer, PhD, Member
Charlestown, MA

Felipe C. Kitamura, MD, PhD, Member
Sao Paulo, SP brazil

Luciano M. Prevedello, MD, MPH, Member
Columbus, OH

George L. Shih, MD, Member
New York, NY

TBA, Member/Resident
Oak Brook, IL

Tara A. Retson, MD, PhD, Member/Resident
San Diego, CA

Robyn L. Ball, PhD, Special Guest
Bar Harbor, ME

Curtis P. Langlotz, MD, PhD, Board Liaison
Menlo Park, CA

Chris Carr , Staff Contact
Oak Brook, IL