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dc.contributor.authorTaylor, Matthew
dc.contributor.authorLiu, Xiaoxuan
dc.contributor.authorDenniston, Alastair
dc.contributor.authorEsteva, Andre
dc.contributor.authorKo, Justin
dc.contributor.authorDaneshjou, Roxana
dc.contributor.authorChan, An-Wen
dc.date.accessioned2024-11-14T14:31:24Z
dc.date.available2024-11-14T14:31:24Z
dc.date.issued2021-03-22
dc.identifier.citationTaylor M, Liu X, Denniston A, Esteva A, Ko J, Daneshjou R, Chan AW; SPIRIT-AI and CONSORT-AI Working Group. Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines. J Invest Dermatol. 2021 Sep;141(9):2109-2111. doi: 10.1016/j.jid.2021.02.744. Epub 2021 Mar 22en_US
dc.identifier.issn0022-202X
dc.identifier.eissn1523-1747
dc.identifier.doi10.1016/j.jid.2021.02.744
dc.identifier.pmid33766511
dc.identifier.urihttp://hdl.handle.net/20.500.14200/6530
dc.description.abstractArtificial intelligence (AI)-based applications have the potential to improve the quality and efficiency of patient care in dermatology. Unique challenges in the development and validation of these technologies may limit their generalizability and real-world applicability. Before the widespread adoption of AI interventions, randomized trials should be conducted to evaluate their efficacy, safety, and cost effectiveness in clinical settings. The recent Standard Protocol Items: Recommendations for Interventional Trials-AI extension and Consolidated Standards of Reporting Trials-AI extension guidelines provide recommendations for reporting the methods and results of trials involving AI interventions. High-quality trials will provide gold standard evidence to support the adoption of AI for the benefit of patient care.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.urlhttps://www.jidonline.org/en_US
dc.rightsCopyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.
dc.subjectDermatologyen_US
dc.titleRaising the bar for randomized trials involving artificial intelligence: the SPIRIT-artificial intelligence and CONSORT-artificial intelligence guidelinesen_US
dc.typeArticleen_US
dc.source.journaltitleJournal of Investigative Dermatologyen_US
dc.source.volume141
dc.source.issue9
dc.source.beginpage2109
dc.source.endpage2111
dc.source.countryUnited Kingdom
dc.source.countryUnited States
rioxxterms.versionNAen_US
dc.contributor.trustauthorDenniston, Alastair
dc.contributor.departmentOphthalmologyen_US
dc.contributor.roleMedical and Dentalen_US
dc.contributor.affiliationUniversity of Birmingham; Health Data Research UK; University Hospitals Birmingham NHS Foundation Trust; Moorfields Eye Hospital NHS Foundation Trust; UCL Institute of Ophthalmology; Salesforce AI Research; Stanford University School of Medicine; University of Torontoen_US
oa.grant.openaccessnaen_US


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