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
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2024.1345659/full |
| _version_ | 1797323582681907200 |
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| author | Alexander D. G. Anderson Alexander D. G. Anderson Serigne N. Lo Serigne N. Lo Pascale Guitera Pascale Guitera Pascale Guitera |
| author_facet | Alexander D. G. Anderson Alexander D. G. Anderson Serigne N. Lo Serigne N. Lo Pascale Guitera Pascale Guitera Pascale Guitera |
| author_sort | Alexander D. G. Anderson |
| collection | DOAJ |
| first_indexed | 2024-03-08T05:30:42Z |
| format | Article |
| id | doaj.art-3096b36d1b454d9e886786e231e7b6e1 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-03-08T05:30:42Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-3096b36d1b454d9e886786e231e7b6e12024-02-06T05:02:21ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2024-02-011110.3389/fmed.2024.13456591345659Commentary: Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillanceAlexander D. G. Anderson0Alexander D. G. Anderson1Serigne N. Lo2Serigne N. Lo3Pascale Guitera4Pascale Guitera5Pascale Guitera6Royal Cornwall Hospital Trust, Truro, United KingdomUniversity of Exeter, Exeter, United KingdomMelanoma Institute Australia, Sydney, NSW, AustraliaThe University of Sydney, Darlington, NSW, AustraliaMelanoma Institute Australia, Sydney, NSW, AustraliaThe University of Sydney, Darlington, NSW, AustraliaSydney Melanoma Diagnostic Centre (SMDC), Camperdown, NSW, Australiahttps://www.frontiersin.org/articles/10.3389/fmed.2024.1345659/fullartificial intelligenceskin cancerAI for skin cancerAI as a medical deviceDERMdeep ensemble for the recognition of malignancy |
| spellingShingle | Alexander D. G. Anderson Alexander D. G. Anderson Serigne N. Lo Serigne N. Lo Pascale Guitera Pascale Guitera Pascale Guitera 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 Frontiers in Medicine artificial intelligence skin cancer AI for skin cancer AI as a medical device DERM deep ensemble for the recognition of malignancy |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | artificial intelligence skin cancer AI for skin cancer AI as a medical device DERM deep ensemble for the recognition of malignancy |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2024.1345659/full |
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