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dc.contributor.authorPowles, Juliaen
dc.contributor.authorHodson, Hen
dc.date.accessioned2017-04-19T12:23:01Z
dc.date.available2017-04-19T12:23:01Z
dc.identifier.issn2190-7188
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/263693
dc.description.abstractData-driven tools and techniques, particularly machine learning methods that underpin artificial intelligence, offer promise in improving healthcare systems and services. One of the companies aspiring to pioneer these advances is DeepMind Technologies Limited, a wholly-owned subsidiary of the Google conglomerate, Alphabet Inc. In 2016, DeepMind announced its first major health project: a collaboration with the Royal Free London NHS Foundation Trust, to assist in the management of acute kidney injury. Initially received with great enthusiasm, the collaboration has suffered from a lack of clarity and openness, with issues of privacy and power emerging as potent challenges as the project has unfolded. Taking the DeepMind-Royal Free case study as its pivot, this article draws a number of lessons on the transfer of population-derived datasets to large private prospectors, identifying critical questions for policy-makers, industry and individuals as healthcare moves into an algorithmic age.
dc.language.isoenen
dc.publisherSpringer
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectartificial intelligenceen
dc.subjectclinical careen
dc.subjectconsenten
dc.subjectdata protectionen
dc.subjectmachine learningen
dc.subjectpoweren
dc.subjectprivacyen
dc.subjectregulationen
dc.titleGoogle DeepMind and healthcare in an age of algorithmsen
dc.typeArticle
prism.publicationNameHealth and Technologyen
dc.identifier.doi10.17863/CAM.9056
dcterms.dateAccepted2017-01-26en
rioxxterms.versionofrecord10.1007/s12553-017-0179-1en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2017-01-26en
dc.identifier.eissn2190-7196
rioxxterms.typeJournal Article/Reviewen
cam.issuedOnline2017-03-16en


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International