UMass Chan Event to Discuss AI for Breast Cancer Screening Risk Prediction

Dr. Laura Michaelson, MD, MPH, an assistant professor of radiology at UMass Chan Medical School, is scheduled to lead a 'Science for Living' discussion on February 26, 2026, from 12:00 p.m. to 1:00 p.m. The virtual event, hosted online via Zoom, will address how artificial intelligence (AI) risk prediction tools could enhance early detection in breast cancer screening. This session is sponsored by the UMass Chan Medical School Office of Health Equity and requires registration.
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The discussion will explore the application of AI models that analyze mammograms to predict an individual's risk of developing breast cancer. This approach aims to personalize screening strategies, potentially identifying high-risk individuals for earlier or more frequent screening while possibly reducing unnecessary screenings for those at lower risk. The goal is to improve the overall effectiveness of breast cancer early detection efforts.
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The talk will also consider the ethical and practical implications of integrating AI into clinical practice, particularly regarding ensuring equitable access to these advanced technologies and mitigating potential biases within the AI models. Dr. Michaelson's presentation will detail how AI-powered risk assessment could lead to more tailored and efficient breast cancer screening protocols in the future.