논문
The impending impacts of large language models on medical education
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참고문헌 (11)
- "Prompt examples from OpenAI API documentation"[URL]
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- Hutson M, "Could AI help you to write your next paper?", Nature, 611(7934), pp.192~193 (2022)
- Arcas BA, "Do large language models understand us?", Daedalus, 151(2), pp.183~197 (2022)
- "Chain of thought prompting elicits reasoning in large language models" (2022)[URL]
- "Can large language models reason about medical questions?" (2022)[URL]
- Wu T, "AI chains : transparent and controllable human-ai interaction by chaining large language model prompts", Paper presented at: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (2022)
- "Do language models have beliefs? methods for detecting, updating, and visualizing model beliefs" (2021)[URL]
- "Pre-trained language models in biomedical domain: a systematic survey" (2021)[URL]
- Sternszus R, "Describing medical student curiosity across a four year curriculum : an exploratory study", Med Teach, 39(4), pp.377~382 (2017)
관련 논문AI추천
Opportunities, challenges, and future directions of large language models, including ChatGPT in medical education: a systematic scoping reviewJing Miao, Xiaojun Xu, Yixiao Chen한국보건의료인국가시험원 · Journal of Educational Evaluation for Health Professions2024 · 제21권 Large Language Models in Medicine최진욱대한의료정보학회 · Healthcare Informatics Research2025 · 제31권 제2호거대언어모델의 발전과 기초의학교육에 미치는 영향에 대한 고찰이현수대한체질인류학회 · 해부·생물인류학2024 · 제37권 제2호The vision of transformation in medical education after the COVID-19 pandemicGoh Poh Sun한국의학교육학회 · Korean Journal of Medical Education2021 · 제33권 제3호A use case of ChatGPT in a flipped medical terminology courseAhn Sangzin한국의학교육학회 · Korean Journal of Medical Education2023 · 제35권 제3호Medical education: addressing questions that require attention이홍식한국의학교육학회 · Korean Journal of Medical Education2017 · 제29권 제3호
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