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dc.contributor.authorIshii, Euma
dc.contributor.authorEbner, Daniel K
dc.contributor.authorKimura, Satoshi
dc.contributor.authorAgha-Mir-Salim, Louis
dc.contributor.authorUchimido, Ryo
dc.contributor.authorCeli, Leo Anthony G.
dc.date.accessioned2020-07-23T20:37:24Z
dc.date.available2020-07-23T20:37:24Z
dc.date.issued2020-05-18
dc.date.submitted2020-03
dc.identifier.issn2052-0492
dc.identifier.urihttps://hdl.handle.net/1721.1/126366
dc.description.abstractArtificial intelligence or AI has been heralded as the most transformative technology in healthcare, including critical care medicine. Globally, healthcare specialists and health ministries are being pressured to create and implement a roadmap to incorporate applications of AI into care delivery. To date, the majority of Japan’s approach to AI has been anchored in industry, and the challenges that have occurred therein offer important lessons for nations developing new AI strategies. Notably, the demand for an AI-literate workforce has outpaced training programs and knowledge. This is particularly observable within medicine, where clinicians may be unfamiliar with the technology. National policy and private sector involvement have shown promise in developing both workforce and AI applications in healthcare. In combination with Japan’s unique national healthcare system and aggregable healthcare and socioeconomic data, Japan has a rich opportunity to lead in the field of medical AI.en_US
dc.publisherBioMed Centralen_US
dc.relation.isversionof10.1186/s40560-020-00452-5en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBioMed Centralen_US
dc.titleThe advent of medical artificial intelligence: lessons from the Japanese approachen_US
dc.typeArticleen_US
dc.identifier.citationIshii, Euma et al. "The advent of medical artificial intelligence: lessons from the Japanese approach." Journal of Intensive Care 8 (May 2020): 35 ©2020 Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.relation.journalJournal of Intensive Careen_US
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.updated2020-06-26T11:12:46Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.date.submission2020-06-26T11:12:46Z
mit.journal.volume8en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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