Registration is now closed.<\/em><\/p>\n 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.<\/p>\n Learn how collaborations between clinicians and AI researchers are helping to identify and mitigate bias, improve predictive accuracy, and ensure tools work effectively across diverse patient populations. The symposium will also explore the use of large language models and other innovative approaches to generate hypotheses about sources of underperformance and hidden bias in AI models.<\/p>\n Confirmed Speakers:<\/b><\/p>\n Imon Banerjee, PhD,<\/b>\u00a0faculty member at Mayo Clinic, Arizona, and the School of Computing and Augmented Intelligence (SCAI) at the Arizona State University<\/p>\n Kayhan Batmanghelich, PhD,<\/b>\u00a0Assistant Professor of Electrical and Computer Engineering in the College of Engineering<\/p>\n Kimberly Bertrand, ScD,<\/b>\u00a0cancer epidemiologist in the Slone Epidemiology Center and Associate Professor of Medicine at Boston University Chobanian & Avedisian School of Medicine<\/p>\n Alaina Geary, MD MHPE,<\/b>\u00a0breast surgical oncologist and attending surgeon of surgical oncology at Boston Medical Center<\/p>\n Aimilia Gastounioti, PhD,\u00a0<\/span><\/b>Assistant Professor of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine<\/p>\n Clare Poynton, MD, PhD,\u00a0<\/span><\/b>Assistant Professor, Boston University Chobanian & Avedisian School of Medicine<\/p>\n Adam Yala, PhD,<\/b>\u00a0Assistant Professor, Computational Precision Health, Statistics, and Computer Science (EECS), at University of California, San Francisco<\/p>\n Organized by:<\/b><\/p>\n Kayhan Batmanghelich, PhD Clare Poynton, MD, PhD This event is part of Hariri Institute’s Focused Research Programs (FRPs) and is co-sponsored by the Digital Health Initiative<\/b>\u00a0at the Hariri Institute for Computing, theSchool of Public Center for Health Data Science<\/b>, the Clinical and Translational Science Institute<\/b>, and theEvans Center for Interdisciplinary Biomedical Research<\/b>.<\/p>\n FRPs support intensive, faculty-driven efforts in large, multi-disciplinary teams. The FRP mission is to evolve and advance Boston University\u2019s research in computing, computational, and data-driven science and engineering around areas of strategic importance and emerging opportunity. The programs are designed to facilitate research convergence by providing \u2018scaffolding\u2019 for groups to coalesce in sustainable ways, with the goal of accelerating research for future funding and broader impact.<\/p>\n
<\/b>Assistant Professor of Electrical and Computer Engineering at the College of Engineering<\/b><\/p>\n
<\/b>Assistant Professor of Radiology at the Chobanian & Avedisian School of Medicine<\/b><\/p>\n