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Response: Commentary: Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance

dc.contributor.authorThomas, L
dc.contributor.authorHyde, C
dc.contributor.authorMullarkey, D
dc.contributor.authorGreenhagh, J
dc.contributor.authorKalsi, D
dc.contributor.authorKo, J
dc.date.accessioned2024-06-24T12:17:33Z
dc.date.issued2024-05-02
dc.date.updated2024-06-21T11:44:57Z
dc.description.sponsorshipSkin Analyticsen_GB
dc.identifier.citationVol. 11, article 1388422en_GB
dc.identifier.doihttps://doi.org/10.3389/fmed.2024.1388422
dc.identifier.urihttp://hdl.handle.net/10871/136409
dc.identifierORCID: 0000-0002-7349-0616 (Hyde, Chris)
dc.language.isoenen_GB
dc.publisherFrontiers Mediaen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/38756949en_GB
dc.rights© 2024 Thomas, Hyde, Mullarkey, Greenhagh, Kalsi and Ko. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_GB
dc.subjectAI as a medical deviceen_GB
dc.subjectAI for skin canceren_GB
dc.subjectDERMen_GB
dc.subjectSkin Analyticsen_GB
dc.subjectartificial intelligenceen_GB
dc.subjectdeep ensemble for the recognition of malignancyen_GB
dc.subjectskin canceren_GB
dc.titleResponse: Commentary: Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillanceen_GB
dc.typeArticleen_GB
dc.date.available2024-06-24T12:17:33Z
dc.identifier.issn2296-858X
exeter.article-numberARTN 1388422
exeter.place-of-publicationSwitzerland
dc.descriptionThis is the final version. Available on open access from Frontiers Media via the DOI in this recorden_GB
dc.identifier.eissn2296-858X
dc.identifier.journalFrontiers in Medicineen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2024-04-15
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-05-02
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-06-24T12:15:46Z
refterms.versionFCDVoR
refterms.dateFOA2024-06-24T12:17:42Z
refterms.panelAen_GB
refterms.dateFirstOnline2024-05-02
exeter.rights-retention-statementNo


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© 2024 Thomas, Hyde, Mullarkey, Greenhagh, Kalsi and Ko. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Except where otherwise noted, this item's licence is described as © 2024 Thomas, Hyde, Mullarkey, Greenhagh, Kalsi and Ko. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.