Machine Learning Data Standards Subcommittee

Responsible for publishing and fostering adoption of standards for image data and associated information to be used for training and evaluation of machine learning algorithms. Member duties: advising the Machine Learning Steering (MLS) Subcommittee on the development of data standards/processes in artificial intelligence/machine learning; contributing expertise in the development and launch of RSNA machine learning challenges

Safwan Halabi, MD, Chair
Chicago, IL

Katherine P. Andriole, PhD, Member
Branford, CT

Harrison X. Bai, MD, Member
Baltimore, MD

Ammar A. Chaudhry, MD, Member
Yorba Linda, CA

Adam E. Flanders, MD, Member
Philadelphia, PA

Thomas W. Loehfelm, MD, PhD, Member
Sacramento, CA

Matthew P. Lungren, MD, Member
Palo Alto, CA

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

Daniel L. Rubin, MD, MS, Member
Stanford, CA

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

Hari Trivedi, MD, Member
Atlanta, GA

Carol C. Wu, MD, Member
Houston, TX

TBA, Member/Resident
Oak Brook, IL

Hesham Elhalawani, MD, MSc, Member/Resident
Boston, MA

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

Joel Saltz, MD, PhD, Member/Resident
Stony Brook, NY

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

Steve Drew , Staff Contact
Oak Brook, IL