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dc.contributor.authorMcCoy, Liam G.
dc.contributor.authorCi Ng, Faye Y.
dc.contributor.authorSauer, Christopher M.
dc.contributor.authorYap Legaspi, Katelyn E.
dc.contributor.authorJain, Bhav
dc.contributor.authorGallifant, Jack
dc.contributor.authorMcClurkin, Michael
dc.contributor.authorHammond, Alessandro
dc.contributor.authorGoode, Deirdre
dc.contributor.authorGichoya, Judy
dc.contributor.authorCeli, Leo A.
dc.date.accessioned2024-10-22T16:35:59Z
dc.date.available2024-10-22T16:35:59Z
dc.date.issued2024-10-07
dc.identifier.urihttps://hdl.handle.net/1721.1/157403
dc.description.abstractReports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. Through a narrative review, we reflect upon the skill shifts necessary for clinicians to succeed in an LLM-enabled world, achieving benefits while minimizing risks. We suggest how medical education must evolve to prepare clinicians capable of navigating human-AI systems.en_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofhttps://doi.org/10.1186/s12909-024-06048-zen_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBioMed Centralen_US
dc.titleUnderstanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative reviewen_US
dc.typeArticleen_US
dc.identifier.citationMcCoy, L.G., Ci Ng, F.Y., Sauer, C.M. et al. Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review. BMC Med Educ 24, 1096 (2024).en_US
dc.contributor.departmentHarvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiologyen_US
dc.relation.journalBMC Medical Educationen_US
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-10-13T03:12:13Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.date.submission2024-10-13T03:12:12Z
mit.journal.volume24en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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