In this AMEE guide, Lead Measurement Scientist Monica Cuddy, PhD and coauthors describe the practical considerations involved in conducting and interpreting medical education studies using AI approaches.

After introducing basic terminology and identifying which problems and data are well-suited for the use of different AI methods, they then address how to evaluate methodological rigor and consider prerequisites needed to initiate an AI-focused research project. They also offer best practices to maximize the potential of AI research in medical education.