Diagnosis of suspicious pigmented lesions in specialist settings with artificial intelligence

dc.contributor.author	Dinnes, Jacqueline
dc.date.accessioned	2023-11-08T11:17:30Z
dc.date.available	2023-11-08T11:17:30Z
dc.date.issued	2023-10
dc.identifier.citation	Matin RN, Dinnes J. Diagnosis of suspicious pigmented lesions in specialist settings with artificial intelligence. Lancet Digit Health. 2023 Oct;5(10):e639-e640. doi: 10.1016/S2589-7500(23)00180-2. PMID: 37775185.	en_US
dc.identifier.eissn	2589-7500
dc.identifier.doi	10.1016/S2589-7500(23)00180-2
dc.identifier.pmid	37775185
dc.identifier.uri	http://hdl.handle.net/20.500.14200/2798
dc.description.abstract	None provided	en_US
dc.language.iso	en	en_US
dc.publisher	Elsevier	en_US
dc.subject	Dermatology	en_US
dc.subject	Practice of medicine	en_US
dc.title	Diagnosis of suspicious pigmented lesions in specialist settings with artificial intelligence	en_US
dc.type	Article
dc.source.journaltitle	The Lancet Digital Health
dc.source.volume	5
dc.source.issue	10
dc.source.beginpage	e639
dc.source.endpage	e640
dc.source.country	England
rioxxterms.version	NA	en_US
dc.contributor.trustauthor	Dinnes, Jacqueline
dc.contributor.role	Healthcare Scientists	en_US
dc.contributor.affiliation	NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust	en_US
oa.grant.openaccess	na	en_US

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