Integration of Artificial Intelligence Into a Medical Curriculum: Evolving Student Perceptions and Faculty...

Area of Science:

• Medical Education
• Artificial Intelligence
• Health Professions Education

Background:

• Generative artificial intelligence (AI) presents opportunities and challenges in medical education.
• Ongoing efforts integrate AI into the curriculum at Quillen College of Medicine.
• Focus on evolving student perceptions and faculty development initiatives.

Purpose of the Study:

• To track shifting student attitudes toward AI in medical education.
• To assess the impact of faculty development workshops on AI integration readiness.
• To understand the evolving needs for AI training in medical schools.

Main Methods:

• Utilized a previously published satisfaction instrument to track student attitudes.
• Compared AI usage and perceptions between 2025 and 2026 cohorts.
• Developed and implemented a multi-dimensional framework and workshops for faculty development.

Main Results:

• Incoming students showed increased AI awareness but prioritized independent clinical skills.
• Student AI use for active learning, like practice question generation, increased significantly.
• Faculty workshops improved confidence and engagement, highlighting needs for hands-on training and prompt engineering skills.

Conclusions:

• Sustained, flexible, and mission-aligned faculty development is crucial for AI integration.
• Equipping educators and learners with responsible AI use skills is essential as AI becomes standard in practice.