About the Session
Artificial intelligence (AI) is rapidly reshaping medical education by enhancing curriculum design, content development, assessment, and learner support. With no-code, widely accessible tools now available, AI can be used effectively by trainees, faculty, and program directors when applied transparently and responsibly. This session provides practical guidance for integrating AI across Harden’s 10-step curriculum development framework, using examples from radiology and imaging-centric specialties.
Content spans needs assessment, learning outcome development, curriculum planning, teaching strategies, assessment design, educational environment support, and curriculum evaluation. Practical workflows highlight confidentiality-first practices, transparency requirements, reproducibility checklists, and low-risk entry points that avoid vendor lock-in. Attendees will receive adaptable prompt templates, do/don’t lists, and resource guides suitable for use in academic and clinical programs.
Objectives
- Identify opportunities to apply AI within Harden’s 10-step curriculum development framework using no-code, privacy-preserving tools.
- Describe workflows for needs assessment, outcome planning, and educational content creation using institution-approved AI tools.
- Organize an adoption plan for integrating AI into educational programs, including tool selection, pilot metrics, guardrails, and next-step scaling.
Presented By
