How can artificial intelligence and advanced imaging technology unlock a healthier future for women? In this dynamic and thought-provoking conversation, NYU Langone researchers Liat Shenhav, PhD, and Moriah E. Thomason, PhD, explore how AI tools and novel data sources—from retinal scans to wearable sensors—are helping identify health risks earlier, personalize care, and close long-standing data gaps in women’s health. Dr. Shenhav and Dr. Thomason share how their work spans fertility, pregnancy, postpartum care, and long-term health, with the goal of reimagining how we deliver care across a woman’s entire lifespan. Discover how NYU Langone’s Mignone Women’s Health Collaborative is: • Using imaging and AI to detect pregnancy complications early • Expanding representation of women in health data sets • Building algorithms to support preventive care • Pioneering wearable tech for real-time maternal and fetal insights • Designing new models of care for women at every life stage L...