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...

Full description

Saved in:
Bibliographic Details
Main Authors: Ravi Janumpally, Suparna Nanua, Andy Ngo, Kenneth Youens
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1525604/full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841549884605333504
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