Collaborative Health Sciences Program
Evaluating the Impact of Artificial Intelligence on Performance and Learning in Radiology Resident Screening Mammography Interpretations
Awarded in 2026
As artificial intelligence (AI)tools become increasingly integrated into mammography, doctors need effective training to use them safely without introducing diagnostic errors, overreliance on technology or inequities in care. This project will study how radiology residents incorporate AI into breast imaging decisions and identify effective approaches for training doctors to accurately interpret mammograms with and without AI assistance. The findings could support safer, more consistent breast cancer screening and help expand quality of care. Collaborators: Dan Bolt, PhD, professor, Department of Educational Psychology, UW—Madison; Amy Fowler, MD, PhD, associate professor, Department of Radiology; John Garrett, PhD, associate professor, Department of Radiology; Elizabeth Krupinski, PhD, professor and vice chair for research, Department of Radiology and Imaging Sciences, Emory University