{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T04:23:43Z","timestamp":1784607823837,"version":"3.55.0"},"reference-count":15,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T00:00:00Z","timestamp":1721174400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["KL2 TR002379"],"award-info":[{"award-number":["KL2 TR002379"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["ophthalmologyscience.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Ophthalmology Science"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1016\/j.xops.2024.100584","type":"journal-article","created":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T13:15:18Z","timestamp":1721481318000},"page":"100584","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":19,"title":["Predicting Choroidal Nevus Transformation to Melanoma Using Machine Learning"],"prefix":"10.1016","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6616-3270","authenticated-orcid":false,"given":"Prashant D.","family":"Tailor","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Piotr K.","family":"Kopinski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haley S.","family":"D\u2019Souza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David A.","family":"Leske","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy W.","family":"Olsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carol L.","family":"Shields","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jerry A.","family":"Shields","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9710-4284","authenticated-orcid":false,"given":"Lauren A.","family":"Dalvin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.xops.2024.100584_bib1","series-title":"Intraocular Tumors: An Atlas and Textbook","author":"Shields","year":"2016"},{"key":"10.1016\/j.xops.2024.100584_bib2","doi-asserted-by":"crossref","first-page":"1840","DOI":"10.1097\/IAE.0000000000002440","article-title":"Choroidal nevus imaging features in 3,806 cases and risk factors for transformation into melanoma in 2,355 cases: the 2020 Taylor R. Smith and Victor T. Curtin Lecture","volume":"39","author":"Shields","year":"2019","journal-title":"Retina"},{"key":"10.1016\/j.xops.2024.100584_bib3","doi-asserted-by":"crossref","first-page":"e532","DOI":"10.1016\/S2589-7500(22)00048-6","article-title":"Identifying who has long COVID in the USA: a machine learning approach using N3C data","volume":"4","author":"Pfaff","year":"2022","journal-title":"Lancet Digit Health"},{"key":"10.1016\/j.xops.2024.100584_bib4","doi-asserted-by":"crossref","first-page":"e435","DOI":"10.1016\/S2589-7500(23)00067-5","volume":"5","author":"Kwong","year":"2023","journal-title":"Lancet Digit Health"},{"key":"10.1016\/j.xops.2024.100584_bib5","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1159\/000521541","article-title":"A\u00a0prediction model to discriminate small choroidal melanoma from choroidal nevus","volume":"8","author":"Zabor","year":"2022","journal-title":"Ocul Oncol Pathol"},{"key":"10.1016\/j.xops.2024.100584_bib6","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1136\/bjo.73.11.911","article-title":"Clinical parameters predictive of enlargement of melanocytic choroidal lesions","volume":"73","author":"Augsburger","year":"1989","journal-title":"Br J Ophthalmol"},{"key":"10.1016\/j.xops.2024.100584_bib7","author":"Chen"},{"key":"10.1016\/j.xops.2024.100584_bib8","doi-asserted-by":"crossref","first-page":"1456","DOI":"10.18240\/ijo.2019.09.14","article-title":"Follow the nevus: the cost-utility of monitoring for growth of choroidal nevi","volume":"12","author":"Barsam","year":"2019","journal-title":"Int J Ophthalmol"},{"key":"10.1016\/j.xops.2024.100584_bib9","doi-asserted-by":"crossref","first-page":"1852","DOI":"10.1097\/IAE.0000000000002508","article-title":"Choroidal nevus transformation into melanoma per millimeter increment in thickness using multimodal imaging in 2355 cases: the 2019 Wendell L. Hughes Lecture","volume":"39","author":"Shields","year":"2019","journal-title":"Retina"},{"key":"10.1016\/j.xops.2024.100584_bib10","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1001\/archophthalmol.2009.208","article-title":"Metastasis of uveal melanoma millimeter-by-millimeter in 8033 consecutive eyes","volume":"127","author":"Shields","year":"2009","journal-title":"Arch Ophthalmol"},{"key":"10.1016\/j.xops.2024.100584_bib11","doi-asserted-by":"crossref","first-page":"1311","DOI":"10.3390\/cancers12051311","article-title":"The MOLES system for planning management of melanocytic choroidal tumors: is it safe?","volume":"12","author":"Roelofs","year":"2020","journal-title":"Cancers"},{"key":"10.1016\/j.xops.2024.100584_bib12","doi-asserted-by":"crossref","first-page":"2823","DOI":"10.1167\/iovs.07-1603","article-title":"Size overlap between benign melanocytic choroidal nevi and choroidal malignant melanomas","volume":"49","author":"Augsburger","year":"2008","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"10.1016\/j.xops.2024.100584_bib13","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.ajo.2018.08.045","article-title":"Are risk factors for growth of choroidal nevi associated with malignant transformation? Assessment with a validated genomic biomarker","volume":"197","author":"Harbour","year":"2019","journal-title":"Am J Ophthalmol"},{"key":"10.1016\/j.xops.2024.100584_bib14","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.1016\/j.ophtha.2007.06.012","article-title":"Cytogenetics of uveal melanoma: a 7-year clinical experience","volume":"114","author":"Damato","year":"2007","journal-title":"Ophthalmology"},{"key":"10.1016\/j.xops.2024.100584_bib15","doi-asserted-by":"crossref","first-page":"7205","DOI":"10.1158\/0008-5472.CAN-04-1750","article-title":"Gene expression profiling in uveal melanoma reveals two molecular classes and predicts metastatic death","volume":"64","author":"Onken","year":"2004","journal-title":"Cancer Res"}],"container-title":["Ophthalmology Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666914524001209?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666914524001209?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T19:45:49Z","timestamp":1772048749000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2666914524001209"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":15,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["S2666914524001209"],"URL":"https:\/\/doi.org\/10.1016\/j.xops.2024.100584","relation":{},"ISSN":["2666-9145"],"issn-type":[{"value":"2666-9145","type":"print"}],"subject":[],"published":{"date-parts":[[2025,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Predicting Choroidal Nevus Transformation to Melanoma Using Machine Learning","name":"articletitle","label":"Article Title"},{"value":"Ophthalmology Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.xops.2024.100584","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 by the American Academy of Ophthalmology.","name":"copyright","label":"Copyright"}],"article-number":"100584"}}