Key points are not available for this paper at this time.
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.
Building similarity graph...
Analyzing shared references across papers
Loading...
Tolsgaard et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69d89a62a5ecc596b5d17ce3 — DOI: https://doi.org/10.1080/0142159x.2023.2180340
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Martin G. Tolsgaard
Martin Pusic
Stefanie S. Sebok‐Syer
Medical Teacher
Harvard University
Stanford University
University of Toronto
Building similarity graph...
Analyzing shared references across papers
Loading...