By Laurah Turner, PhD
We are excited to welcome Dr. Laurah Turner, Associate Dean for Artificial Intelligence and Educational Informatics and Associate Professor of Biostatistics, Health Informatics and Data Sciences, and Medical Education at the University of Cincinnati College of Medicine, who will present Applied Intelligence: Integrating AI Technologies Into Medical Education. The session will take place on Thursday, January 8, 2026, at 12:00 PM EST, for the second week of the IAMSE 2026 Winter Webcast Audio Seminar Series titled “From Hype to Reality: AI’s Rapid Transformation of Health-Sciences Professions Education.”
Don’t miss this exciting opportunity to examine evidence-based applications, assessment of knowledge/skills, human factors in AI adoption, autonomous AI agents for teaching and administration, and policy and competency frameworks for faculty and students. The IAMSE 2026 Winter Webcast Audio Seminar Series presentations will focus on practical examples, emerging risks, and actionable strategies faculty can use now to design learning, assessment, and support systems to prepare students for a learning and practice environment transformed by AI. the series is intended for basic-science and clinical educators seeking forward-looking, implementable guidance.
Laurah Turner, PhD
Applied Intelligence:
Integrating AI Technologies Into Medical Education
Presenter: Laurah Turner, Associate Dean for Artificial Intelligence and Educational Informatics and Associate Professor of Biostatistics, Health Informatics and Data Sciences, and Medical Education at the University of Cincinnati College of Medicine
Session Date & Time: January 15, 2026, at 12:00 PM EST
Session Description: Artificial intelligence promises to revolutionize medical education; yet, most institutions struggle to transition beyond pilot projects to meaningful implementation. This talk bridges the gap between AI’s potential and current reality by showcasing real-world applications from across the medical education landscape.
Participants will learn to navigate the “Alignment Paradox”—ensuring AI tools serve educational goals rather than undermine them—through an evidence-based decision framework. This practical approach, grounded in principles of AI performance patterns, helps educators determine when to trust AI autonomously, when human oversight is essential, and when to avoid AI entirely.
As always, IAMSE Student Members
can register for the series for FREE!
If you are an IAMSE student member, please contact support@iamse.org for information about registering at no cost.