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

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

John Mongan, MD, PhD, Vice-Chairman
San Francisco, CA

Katherine P. Andriole, PhD, Member
Chestnut Hill, MA

Bradley J. Erickson, MD, PhD, Member
Rochester, MN

Adam E. Flanders, MD, Member
Philadelphia, PA

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

Safwan Halabi, MD, Member
Mountain View, CA

Jayashree Kalpathy-Cramer, MS, PhD, Member
Charlestown, MA

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

Dan I. Cohen-Addad, MD, Member/Resident
Brooklyn, NY

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

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

Steve Drew , Staff Contact
Oak Brook, IL