This presentation explores the potential of integrating artificial intelligence and customized web applications into medical education. We will examine how these innovative tools can transform traditional learning methods, promoting highly interactive and engaging educational experiences. The focus will be on practical strategies for developing and implementing tailored solutions that offer real-time feedback, personalize learning pathways, and utilize data analytics to enhance curriculum design and improve student outcomes. Attendees will gain actionable insights into creating a more dynamic, adaptive, and effective learning environment for the next generation of healthcare professionals.

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.

Educators' face the dilemma of the need to prepare their students for a future of AI while mitigating the risk of cognitive deskilling/never-skilling. We will review a pedagogically based approach to approaching this dilemma.

Artificial intelligence is rapidly transforming education, both for good and for not-so-good. The advances are now coming so quickly that it can be difficult to tell the difference. In this presentation, we'll explore the alignment of the affordances that AI can currently provide with the goals, purpose, and processes of education, focusing on four key use cases: learning content generation and support including clinical simulation, automated student feedback and assessment, agentic instruction and tutoring, and agentic personal development. We’ll also explore what specific steps you can take to begin using AI tools effectively within each domain, as well as a projection of how these applications are likely to evolve in the coming years.

Artificial intelligence (AI) is disrupting practices of health care delivery and health professions education. Successful incorporation of AI for the benefit of patients and communities requires health professionals trained to adeptly and critically apply AI tools. This necessitates a shift in some elements of professional identity and will force transformation of health professions education. It is essential that educators are informed about the promise and perils of AI to actively guide responsible use of these tools by and for learners facing a rapidly evolving practice environment.