Login / Signup

The fundamentals of artificial intelligence in medical education research: AMEE Guide No. 156.

Martin Grønnebaek TolsgaardMartin Victor PusicStefanie S Sebok-SyerBrian GinMorten Bo SvendsenMark D SyerRyan BrydgesMonica M CuddyChristy K Boscardin
Published in: Medical teacher (2023)
The use of Artificial Intelligence (AI) in medical education has the potential to facilitate complicated tasks and improve efficiency. For example, AI could help automate assessment of written responses, or provide feedback on medical image interpretations with excellent reliability. While applications of AI in learning, instruction, and assessment are growing, further exploration is still required. There exist few conceptual or methodological guides for medical educators wishing to evaluate or engage in AI research. In this guide, we aim to: 1) describe practical considerations involved in reading and conducting studies in medical education using AI, 2) define basic terminology and 3) identify which medical education problems and data are ideally-suited for using AI.
Keyphrases
  • artificial intelligence
  • medical education
  • big data
  • deep learning
  • machine learning
  • healthcare
  • working memory
  • mental health
  • electronic health record
  • climate change
  • risk assessment