Connie Lehman, MD, PhD Professor, Radiology, Harvard Medical School
Overview
Artificial intelligence (AI) holds great potential to impact the diagnosis and risk stratification of breast cancer. Current breast cancer risk models are limited in their design and accuracy. In this webinar, Dr. Constance Lehman, Professor of Radiology at Harvard Medical School and head of Breast Imaging at Massachusetts General Hospital explored progress in applying AI to improve prediction of future risk of breast cancer based on mammography alone, including validation trials in multi-ethnic populations. These advances were discussed in the context of the broader goal to deliver more precise, more personalized breast cancer detection, diagnosis and treatment.
About the Presenter
Constance “Connie” Lehman, MD, PhD is a Professor of Radiology at Harvard Medical School, Chief of Breast Imaging, and co-Director of the Avon Comprehensive Breast Evaluation Center at the Massachusetts General Hospital. She is a physician scientist who received her MD and PhD from Yale University after graduating Phi Beta Kappa from Duke University. She is a change agent, innovator and pioneer in the domain of Artificial Intelligence implementation in clinical medical practice. Her current work applies artificial intelligence and advanced methods of deep learning to improve breast cancer detection, diagnosis and treatment. Her current efforts focus on applying AI to deliver higher-quality health outcomes at lower costs for the full diversity of patients at risk for and with cancer. This is a continuation of her career-long commitment to expand access for all patients globally to highest quality, patient-centered, affordable care.