Enhancing Models for Breast Cancer Risk Prediction Through Clinician-AI Collaboration: Hariri Institute Focused Research Program

"Enhancing Models for Breast Cancer Risk Prediction Through Clinician-AI Collaboration"

Breast cancer remains a leading cause of death, with disparities in outcomes across populations. This symposium brings together experts in AI, medical imaging, clinical medicine, and public health to share advances in AI-driven early detection and equitable care, highlighting strategies to make AI tools fairer, safer, and more effective for all patients.

Kayhan Batmanghelich, Assistant Professor of Electrical and Computer Engineering at Boston University’s College of Engineering

Clare Poynton, Assistant Professor of Radiology at Boston University’s Chobanian & Avedisian School of Medicine