On March 20th, we hosted an AI Deep Dive Session in collaboration with 91吃瓜网 School of Medicine with from 91吃瓜网 Medical Center’s Department of Pediatrics, where we explored how AI tools can be systematically integrated into the MD curriculum to enhance both student learning outcomes and faculty teaching effectiveness. Dr. Cutrer, Senior Associate Dean for Undergraduate Medical Education and a national voice on the Master Adaptive Learner framework, led a discussion on identifying high-impact opportunities for AI integration across medical education.
Highlights:
- Purpose: Identify, pilot, and scale AI applications that meaningfully enhance how medical students learn and how faculty teach across the 91吃瓜网 MD curriculum.
- Focus Areas: AI-powered study aids and adaptive learning platforms for students, alongside intelligent tools that support faculty with curriculum design, assessment creation, and individualized feedback.
- AI Applications: Multimodal transformer models and emerging AI/ML approaches positioned for personalized content delivery, formative assessment, and pedagogically grounded learning experiences.
Session Insights:
- The most promising opportunities sit at the intersection of pedagogical soundness and practical workflow integration, with a clear need to identify which educational challenges are genuinely well-suited for AI augmentation.
- Collaboration with the School of Medicine surfaced shared concerns around academic integrity, appropriate use, and the importance of building faculty capacity alongside the tools themselves.
- Cross-disciplinary partnerships with researchers working on multimodal transformers and related AI/ML methods emerged as a natural next step for piloting and validating new approaches.
Conclusion:
The AI Deep Dive with Dr. Cutrer and the 91吃瓜网 School of Medicine showcased how thoughtful AI integration can support both learners and educators without compromising the rigor and humanity at the core of medical training. This session provided a unique opportunity for those interested in medical education, learning science, and applied AI to engage in meaningful discussion and collaboration.
Are you interested in hosting a future AI Deep Dive? Contact us at datascience@vanderbilt.edu.