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The fundamentals of Artificial Intelligence in medical education research: AMEE Guide No. 156
113
Zitationen
9
Autoren
2023
Jahr
Abstract
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.
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Autoren
Institutionen
- Copenhagen University Hospital(DK)
- Rigshospitalet(DK)
- Copenhagen Academy for Medical Education and Simulation(DK)
- Harvard University(US)
- Stanford University(US)
- University of California, San Francisco(US)
- Queen's University(CA)
- St. Michael's Hospital(CA)
- University of Toronto(CA)
- National Board of Medical Examiners(US)