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

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

Yan Chen, PhD, Member
NOTTINGHAM, N/A united kingdom

Dania Daye, MD, PhD, Member
Medford, MA

Hesham Elhalawani, MD, MSc, Member
Boston, MA

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

Luciano M. Prevedello, MD, MPH, Member
Dublin, 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

Andrew L. Wentland, MD, PhD, Member
Madison, WI

Carol C. Wu, MD, Member
Houston, TX

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

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

Adam E. Flanders, MD, Board Liaison
Philadelphia, PA

Angela Colmone , Staff Contact
Oak Brook, IL