Evaluating the Impact of Artificial Intelligence on Performance and Learning in Radiology Resident Screening Mammography Interpretations

CT scans performed for routine medical care can contain valuable information about a patient’s risk for heart attack or stroke, but this information often goes unused. This project will integrate a computer-based tool that automatically identifies cardiovascular risk from existing scans, into routine care and study whether alerting physicians leads to more patients receiving preventive treatment. The approach could transform patient scans into a powerful tool for preventing heart disease and expanding preventive care. Collaborators: Perry Pickhardt, MD, professor and chief, Department of Radiology; Matthew Kalscheur, MD, FHRS, associate professor, Department of Medicine; Sarina Schrager, MD, MS, Department of Family Medicine and Community Health; Mary Henningfield, PhD, Department of Family Medicine and Community Health; Mary Ryan Baumann, PhD, assistant professor, Department of Population Health Sciences and Department of Biostatistics and Medical Informatics