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

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

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

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

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

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

Hari Trivedi, MD, Member
Atlanta, GA

Baris Turkbey, MD, Member
Bethesda, MD

Carol C. Wu, MD, Member
Houston, TX

Marcelo O. Coelho, MD, Member/Resident
Sao Paulo, SP brazil

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

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