Generative artificial intelligence in graduate medical education
Generative artificial intelligence (GenAI) is rapidly transforming various sectors, including healthcare and education. This paper explores the potential opportunities and risks of GenAI in graduate medical education (GME). We review the existing literature and provide commentary on how GenAI could...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2025-01-01
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Series: | Frontiers in Medicine |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2024.1525604/full |
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author | Ravi Janumpally Suparna Nanua Andy Ngo Kenneth Youens |
author_facet | Ravi Janumpally Suparna Nanua Andy Ngo Kenneth Youens |
author_sort | Ravi Janumpally |
collection | DOAJ |
description | Generative artificial intelligence (GenAI) is rapidly transforming various sectors, including healthcare and education. This paper explores the potential opportunities and risks of GenAI in graduate medical education (GME). We review the existing literature and provide commentary on how GenAI could impact GME, including five key areas of opportunity: electronic health record (EHR) workload reduction, clinical simulation, individualized education, research and analytics support, and clinical decision support. We then discuss significant risks, including inaccuracy and overreliance on AI-generated content, challenges to authenticity and academic integrity, potential biases in AI outputs, and privacy concerns. As GenAI technology matures, it will likely come to have an important role in the future of GME, but its integration should be guided by a thorough understanding of both its benefits and limitations. |
format | Article |
id | doaj-art-a16ff2d140ae42609b614ac63bbae892 |
institution | Kabale University |
issn | 2296-858X |
language | English |
publishDate | 2025-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Medicine |
spelling | doaj-art-a16ff2d140ae42609b614ac63bbae8922025-01-10T12:47:51ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-01-011110.3389/fmed.2024.15256041525604Generative artificial intelligence in graduate medical educationRavi JanumpallySuparna NanuaAndy NgoKenneth YouensGenerative artificial intelligence (GenAI) is rapidly transforming various sectors, including healthcare and education. This paper explores the potential opportunities and risks of GenAI in graduate medical education (GME). We review the existing literature and provide commentary on how GenAI could impact GME, including five key areas of opportunity: electronic health record (EHR) workload reduction, clinical simulation, individualized education, research and analytics support, and clinical decision support. We then discuss significant risks, including inaccuracy and overreliance on AI-generated content, challenges to authenticity and academic integrity, potential biases in AI outputs, and privacy concerns. As GenAI technology matures, it will likely come to have an important role in the future of GME, but its integration should be guided by a thorough understanding of both its benefits and limitations.https://www.frontiersin.org/articles/10.3389/fmed.2024.1525604/fullGenerative AILLMgptGMEgraduate medical educationChatGPT |
spellingShingle | Ravi Janumpally Suparna Nanua Andy Ngo Kenneth Youens Generative artificial intelligence in graduate medical education Frontiers in Medicine Generative AI LLM gpt GME graduate medical education ChatGPT |
title | Generative artificial intelligence in graduate medical education |
title_full | Generative artificial intelligence in graduate medical education |
title_fullStr | Generative artificial intelligence in graduate medical education |
title_full_unstemmed | Generative artificial intelligence in graduate medical education |
title_short | Generative artificial intelligence in graduate medical education |
title_sort | generative artificial intelligence in graduate medical education |
topic | Generative AI LLM gpt GME graduate medical education ChatGPT |
url | https://www.frontiersin.org/articles/10.3389/fmed.2024.1525604/full |
work_keys_str_mv | AT ravijanumpally generativeartificialintelligenceingraduatemedicaleducation AT suparnananua generativeartificialintelligenceingraduatemedicaleducation AT andyngo generativeartificialintelligenceingraduatemedicaleducation AT kennethyouens generativeartificialintelligenceingraduatemedicaleducation |