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The Cases for and against Artificial Intelligence in the Medical School Curriculum

Brandon Ngo, Diep Nguyen, Eric vanSonnenberg

2022Radiology Artificial Intelligence53 citationsDOIOpen Access PDF

Abstract

Although artificial intelligence (AI) has immense potential to shape the future of medicine, its place in undergraduate medical education currently is unclear. Numerous arguments exist both for and against including AI in the medical school curriculum. AI likely will affect all medical specialties, perhaps radiology more so than any other. The purpose of this article is to present a balanced perspective on whether AI should be included officially in the medical school curriculum. After presenting the balanced point-counterpoint arguments, the authors provide a compromise. Keywords: Artificial Intelligence, Medical Education, Medical School Curriculum, Medical Students, Radiology, Use of AI in Education © RSNA, 2022

Topics & Concepts

CurriculumMedicineMedical schoolCompromisePerspective (graphical)Medical educationCounterpointPoint (geometry)Artificial intelligencePedagogyPsychologyComputer scienceSocial scienceMathematicsSociologyGeometryArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingRadiology practices and education
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