A Framework Defining AI Literacy for Medical Students (Poster 26)

• In Event: AERA Poster Session Friday 9:50 a.m.
  In Poster Session: Division I: Education in the Professions Poster Session

Abstract

As AI technologies integrate to clinical workflows, AI literacy among physicians is crucial for safe, ethical patient care. However, existing AI literacy frameworks defined for K-12 students or the general public are not suitable for addressing the specific needs and requirements of medical students. In this study, we conducted a scoping review from 1,699 articles published between 2016 and 2024. We identified 18 studies which propose guiding frameworks, and 11 studies documenting real-world instruction. We found comprehensive guidelines need more clinical relevance and personalization. With this knowledge, we propose an AI literacy framework for medical students with four dimensions: Foundational, Practical, Experimental, and Ethical, providing a road map for developing practical education strategies for building an AI-competent healthcare workforce.

Authors

• Yingbo Ma, University of Florida

• Yukyeong Song, University of Tennessee