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dc.contributor.authorFORTI, Mirko
dc.date.accessioned2021-01-14T09:55:49Z
dc.date.available2021-01-14T09:55:49Z
dc.date.issued2021
dc.identifier.citationEuropean journal of legal studies, 2021, Vol. 13, No. 1, pp. 29-44en
dc.identifier.issn1973-2937
dc.identifier.urihttps://hdl.handle.net/1814/69523
dc.descriptionPublished online: 09 June 2021en
dc.description.abstractThis article examines the privacy and data protection implications of the deployment of machine learning algorithms in the medical sector. Researchers and physicians are developing advanced algorithms to forecast possible developments of illnesses or disease statuses, basing their analysis on the processing of a wide range of data sets. Predictive medicine aims to maximize the effectiveness of disease treatment by taking into account individual variability in genes, environment, and lifestyle. These kinds of predictions could eventually anticipate a patient's possible health conditions years, and potentially decades, into the future and become a vital instrument in the future development of diagnostic medicine. However, the current European data protection legal framework may be incompatible with inherent features of artificial intelligence algorithms and their constant need for data and information. This article proposes possible new approaches and normative solutions to this dilemma.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherEuropean University Instituteen
dc.relation.ispartofEuropean journal of legal studiesen
dc.relation.urihttps://ejls.eui.eu/en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectArtificial intelligenceen
dc.subjectAlgorithmen
dc.subjectMedicineen
dc.subjectHealthen
dc.subjectPrivacyen
dc.subject.otherCoFoEen
dc.subject.otherHealthen
dc.titleThe deployment of artificial intelligence tools in the health sector : privacy concerns and regulatory answers within the regulation (EU) 2016/679en
dc.typeArticleen
dc.identifier.doi10.2924/EJLS.2019.040
dc.identifier.volume13
dc.identifier.startpage29
dc.identifier.endpage44
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dc.identifier.issue1
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