AI-Driven Advancements in Mammogram Analysis - MedAI #119

Explore AI-driven advancements in mammogram analysis through this 44-minute conference talk by Aisha Urooj, a Research Fellow at Arizona Advanced AI & Innovation Hub, Mayo Clinic. Delve into the challenges of adapting AI models for healthcare applications, including domain misalignment, limited datasets, and imbalanced classes. Discover Urooj's research efforts at Mayo Clinic in designing and validating AI models for mammogram analysis, focusing on cancer screening and assessing cardiovascular event risks in women. Gain insights into multimodal understanding tasks involving language and vision, representation learning, visual question answering, and visual grounding. Learn about the development of efficient AI systems to assist radiologists in their diagnosis and the potential impact of these advancements on healthcare applications.