术语
计算机科学
可靠性(半导体)
阅读(过程)
医学术语
人工智能
医学
政治学
语言学
量子力学
物理
哲学
护理部
功率(物理)
法学
作者
Martin G. Tolsgaard,Martin Pusic,Stefanie S. Sebok‐Syer,Brian C. Gin,Morten Bo Søndergaard Svendsen,Mark D. Syer,Ryan Brydges,Monica M. Cuddy,Christy Boscardin
标识
DOI:10.1080/0142159x.2023.2180340
摘要
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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