Title : AI-Powered Behavioral Economics in Geriatric Cardiology: Nudging Heart-Healthy Decisions for Aging Populations
Abstract:
As global populations age, geriatric cardiology faces the dual challenge of managing complex cardiovascular conditions while addressing behavioral barriers to adherence and prevention. This presentation explores the transformative role of Artificial Intelligence (AI) in integrating behavioral economics principles into geriatric heart care. By leveraging AI-driven predictive analytics, personalized nudges, and real-time digital interventions, clinicians can effectively influence patient decision-making to improve medication adherence, lifestyle modifications, and engagement with preventive strategies. Drawing on insights from behavioral health and economics, the talk will highlight AI applications such as machine learning models for risk stratification in elderly patients, chatbots delivering tailored behavioral prompts, and wearable-integrated systems that apply choice architecture to promote sustained heart-healthy behaviors. Case studies and emerging evidence demonstrate how these AI-enhanced approaches reduce readmission rates, enhance quality of life, and optimize resource allocation in cardiovascular care for older adults. The discussion will also address ethical considerations, implementation barriers, and future directions for scaling AI-behavioral interventions in hybrid clinical settings. Attendees will gain actionable insights into harnessing AI to bridge the gap between clinical knowledge and human behavior in geriatric cardiology.
Keywords:
Geriatric Cardiology, Artificial Intelligence, Behavioral Economics, Behavioral Health, Cardiovascular Prevention, Personalized Nudges, Aging Population, Digital Health Interventions, Patient Adherence, Heart Failure Management

