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Combining Automated Lesion Risk and Change Assessment Improves Melanoma Detection: A Retrospective Accuracy Study.

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Title: Combining Automated Lesion Risk and Change Assessment Improves Melanoma Detection: A Retrospective Accuracy Study.
Authors: Rutjes C; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia. Electronic address: c.rutjes@uq.edu.au., Mothershaw A; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia; Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia., D'Alessandro BM; Canfield Scientific, Parsippany, New Jersey, USA., Primiero CA; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia., McInerney-Leo A; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia., Soyer HP; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia; Dermatology Department, Princess Alexandra Hospital, Brisbane, Australia., Janda M; Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia., Betz-Stablein B; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia.
Source: The Journal of investigative dermatology [J Invest Dermatol] 2025 Mar; Vol. 145 (3), pp. 703-706.e1. Date of Electronic Publication: 2024 Sep 07.
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
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  Data: Combining Automated Lesion Risk and Change Assessment Improves Melanoma Detection: A Retrospective Accuracy Study.
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  Data: <searchLink fieldCode="AU" term="%22Rutjes+C%22">Rutjes C</searchLink>; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia. Electronic address: c.rutjes@uq.edu.au.<br /><searchLink fieldCode="AU" term="%22Mothershaw+A%22">Mothershaw A</searchLink>; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia; Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22D'Alessandro+BM%22">D'Alessandro BM</searchLink>; Canfield Scientific, Parsippany, New Jersey, USA.<br /><searchLink fieldCode="AU" term="%22Primiero+CA%22">Primiero CA</searchLink>; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22McInerney-Leo+A%22">McInerney-Leo A</searchLink>; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Soyer+HP%22">Soyer HP</searchLink>; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia; Dermatology Department, Princess Alexandra Hospital, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Janda+M%22">Janda M</searchLink>; Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Betz-Stablein+B%22">Betz-Stablein B</searchLink>; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia.
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  Data: <searchLink fieldCode="JN" term="%220426720%22">The Journal of investigative dermatology</searchLink> [J Invest Dermatol] 2025 Mar; Vol. 145 (3), pp. 703-706.e1. <i>Date of Electronic Publication: </i>2024 Sep 07.
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  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
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        Value: 10.1016/j.jid.2024.07.027
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      – Code: eng
        Text: English
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              Text: 2025 Mar
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