Radiology AI Data Standards Subcommittee (RAIDS)/AI

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

Marcelo S. Takahashi, MD, PhD, Chair
Chapel Hill, NC

Imon Banerjee, PhD, Member
Phoenix, AZ

Dania Daye, MD, PhD, Member
Medford, MA

Michael Hood, MD, Member
Boston, MA

Charles E. Kahn Jr, MD, MS, Member
Philadelphia, PA

Paulo E. Kuriki, MD, Member
DALLAS, TX

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

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

Baris Turkbey, MD, Member
Bethesda, MD

Eduardo M. Farina, MD, Member/Resident
Sao Paulo, SP brazil

Bardia Khosravi, MD, MPH, Member/Resident
New Haven, CT

Abhinav Suri, BA, MPH, Member/Medical Student
Los Angeles, CA

Katherine P. Andriole, PhD, Special Guest
Branford, CT

George L. Shih, MD, MS, Special Guest
New York, NY

Ricardo A. Gonzales Vera, MD, Trainee Member
Charlestown, MA

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

TBA, Member
Oak Brook, IL

Angela Colmone , Staff Contact
Oak Brook, IL