Topic: Transforming Medicine and Education: Harnessing the Power of AI to Revolutionize Learning and Patient Care
Speaker: Dr. Adam Rodman
Learning Objectives:
1. Analyze current patterns of generative-AI adoption and attitudes among health-profession learners and discuss how these trends should influence curriculum design and support structures.
2. Evaluate the demonstrated capabilities and limitations of cutting-edge large-language models (LLMs) in clinical reasoning, differential generation, history-taking, management planning, and assessment development.
3. Demonstrate AI-enable educational interventions-such as Retrieval-Augmented Generation (RAG) workflows and scalable oversight systems-that enhance feedback, efficiency, and lifelong learning while mitigating risks like hallucination and over reliance.
- 1.00 ABIM Practice AssessmentSuccessful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 1.00 MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.
- 1.00 Attendance