Leveraging AI Beings for Personalized Learning and Patient Engagement

Abstract

The integration of artificial intelligence (AI) in education has transformed both teaching and learner engagement, particularly within flipped classroom models.This seminar explores the dual role of adaptive AI beings in reshaping medical education and extending their utility into patient education pathways.Drawing on research from a series of implementation studies-including published findings from middle school to medical schools and residensy rpograms-the present seminar examines how conversational AI tutors (via the edYOU platform; Los Angeles, CA, USA) enhance academic performance, engagement, and real-time feedback in undergraduate and graduate medical education.Central to this approach are the Personalized Ingestion Engine (PIE), which tailors content to each learner's needs, and the Intelligent Curation Engine (ICE), which ensures ethical, bias-free, and secure delivery of educational material.Together, these systems support dynamic adaptation, meaningful feedback, and instructional integrity.Building on this foundation, we further explore how the same AI-powered adaptive logic is being repurposed to guide patients through evidence-based digital Health Journeys.These journeys-such as the "Painless" series-automate behavioral interventions and deliver tailored resources in response to patient assessments, providing scalable support in primary care, pain management, mental wellness, and lifestyle modification.This presentation showcases AIdriven personalization for lifelong learning in education and healthcare.It will cover training, patient selfmanagement, and digital medicine strategies at the population level.

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