Older adults experience a growing burden of health challenges that affect physical, mental and well-being. Existing approaches to prevention and early identification often rely on health evaluations that happen occasionally (for ex, during periodic clinic visits or scheduled check-ins) rather than through continuous monitoring. AI offers opportunities to enhance health through scalable, data-driven, & personalized strategies that support aging populations. Rahimi's research lab applies machine learning and AI techniques to analyze multimodal health data, including clinical records, wearable sensor-based data, and self-reported behavioral information. We focus on developing & evaluating AI-enabled approaches for early risk id, monitoring of health-related patterns, & design of age-inclusive tools that are accessible & acceptable to older adults. Current analyses explore the feasibility, performance, & user experience of these AI approaches across research & real-world settings. Detailed findings & illustrative examples from variety of studies including early detection of cardiovascular diseases & depression among older adults will be presented and discussed during this talk. Our work contribute to the development of responsible AI applications, informs future research and policy, and supports strategies aimed at promoting healthy aging at scale.
Dr. Samira A. Rahimi, B.Eng, PhD, is a Canada Research Chair (Tier II) in AI and Advanced Digital Primary Health Care. She is an assistant professor at McGill University, Co-Director of McGill's Collaborative for AI and Society (McCAIS), and an Associate Academic Member of Mila - Quebec AI Institute. She also serves as Research Co-Director of the General Practice Residency (GPR) program in dentistry at the Jewish General Hospital.
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