Photographic Quantification of Actinic Keratoses Using Human- and Artificial Intelligence-Based Assessment: A Pilot Study.
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| Title: | Photographic Quantification of Actinic Keratoses Using Human- and Artificial Intelligence-Based Assessment: A Pilot Study. |
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| Authors: | Li Y; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Liao V; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Nykaza IR; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Ong MM; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Kose K; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Kurtansky NR; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Halpern AC; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Wehner MR; Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA; Division of Cancer Prevention and Population Sciences, Department of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Rotemberg V; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: rotembev@mskcc.org. |
| Source: | The Journal of investigative dermatology [J Invest Dermatol] 2026 Mar; Vol. 146 (3), pp. 819-822.e5. Date of Electronic Publication: 2025 Aug 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 0426720 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1523-1747 (Electronic) Linking ISSN: 0022202X NLM ISO Abbreviation: J Invest Dermatol Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40865675 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Photographic Quantification of Actinic Keratoses Using Human- and Artificial Intelligence-Based Assessment: A Pilot Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Liao+V%22">Liao V</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Nykaza+IR%22">Nykaza IR</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Ong+MM%22">Ong MM</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Kose+K%22">Kose K</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Kurtansky+NR%22">Kurtansky NR</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Halpern+AC%22">Halpern AC</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Wehner+MR%22">Wehner MR</searchLink>; Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA; Division of Cancer Prevention and Population Sciences, Department of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Rotemberg+V%22">Rotemberg V</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: rotembev@mskcc.org. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220426720%22">The Journal of investigative dermatology</searchLink> [J Invest Dermatol] 2026 Mar; Vol. 146 (3), pp. 819-822.e5. <i>Date of Electronic Publication: </i>2025 Aug 25. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0426720 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1523-1747 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220022202X%22">0022202X </searchLink><i>NLM ISO Abbreviation: </i>J Invest Dermatol <i>Subsets: </i>MEDLINE; In Process |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40865675 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jid.2025.08.015 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 819 Titles: – TitleFull: Photographic Quantification of Actinic Keratoses Using Human- and Artificial Intelligence-Based Assessment: A Pilot Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li Y – PersonEntity: Name: NameFull: Liao V – PersonEntity: Name: NameFull: Nykaza IR – PersonEntity: Name: NameFull: Ong MM – PersonEntity: Name: NameFull: Kose K – PersonEntity: Name: NameFull: Kurtansky NR – PersonEntity: Name: NameFull: Halpern AC – PersonEntity: Name: NameFull: Wehner MR – PersonEntity: Name: NameFull: Rotemberg V IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Mar Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1523-1747 Numbering: – Type: volume Value: 146 – Type: issue Value: 3 Titles: – TitleFull: The Journal of investigative dermatology Type: main |
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