An LLM-Based Tutor for Microbiology
- Harvard Medical School AI Dean's Award
Sanjat Kanjilal
Project Summary
We are excited to announce the development of a personalized AI tutor designed to enhance medical education. This innovative tool leverages generative AI and domain expert knowledge to engage students with a comprehensive set of several hundred open-ended cases, modeled after the New England Journal of Medicine (NEJM) clinicopathologic conferences (CPC).
The AI tutor emulates real-life medical student-teacher interactions, using a Socratic method to engage students in critical thinking and problem-solving. By covering foundational material through simulated student-teaching interactions, the AI tutor frees up classroom time for course directors to focus on advanced topics and cutting-edge research.
The AI tutor will be initially deployed in the HST 040: Mechanisms of Microbial Pathogenesis course, taught to second-year medical students in the Harvard-MIT Health Sciences and Technology Program (HST). However, it is designed to be adaptable for use in any pre-clinical medical school class.
Join us in revolutionizing medical education with our adaptive AI tutor, where technology meets learning to create a more efficient and engaging educational experience.