{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T14:49:13Z","timestamp":1787755753035,"version":"build-2784847793"},"reference-count":19,"publisher":"Radiological Society of North America (RSNA)","issue":"5","funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["1OT2OD 037972-01"],"award-info":[{"award-number":["1OT2OD 037972-01"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["1R01EB032896"],"award-info":[{"award-number":["1R01EB032896"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["3R01EB032896-03S1"],"award-info":[{"award-number":["3R01EB032896-03S1"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2115082"],"award-info":[{"award-number":["2115082"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2138259"],"award-info":[{"award-number":["2138259"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2138286"],"award-info":[{"award-number":["2138286"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2138307"],"award-info":[{"award-number":["2138307"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2137603"],"award-info":[{"award-number":["2137603"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2138296"],"award-info":[{"award-number":["2138296"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["OAC2117681"],"award-info":[{"award-number":["OAC2117681"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Radiology: Artificial Intelligence"],"published-print":{"date-parts":[[2026,9,1]]},"abstract":"<jats:p>A deep learning risk model that explicitly captures bilateral and longitudinal asymmetries detected on sequential mammograms outperformed existing models for breast cancer risk prediction.<\/jats:p>","DOI":"10.1148\/ryai.250888","type":"journal-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T13:57:06Z","timestamp":1785333426000},"source":"Crossref","is-referenced-by-count":0,"title":["A Deep Learning Model Incorporating Spatiotemporal Asymmetries on Longitudinal Mammograms to Predict Breast Cancer Risk"],"prefix":"10.1148","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-0603-2481","authenticated-orcid":false,"given":"Zhengbo","family":"Zhou","sequence":"first","affiliation":[{"name":"Intelligent Systems Program, University of Pittsburgh, 3240 Craft Pl, Rm 322, Pittsburgh, PA 15213"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9679-0438","authenticated-orcid":false,"given":"Dooman","family":"Arefan","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Pittsburgh, Pittsburgh, Pa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2127-8346","authenticated-orcid":false,"given":"Margarita L.","family":"Zuley","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Pittsburgh, Pittsburgh, Pa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1124-9445","authenticated-orcid":false,"given":"Jules H.","family":"Sumkin","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Pittsburgh, Pittsburgh, Pa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0770-2203","authenticated-orcid":false,"given":"Shandong","family":"Wu","sequence":"additional","affiliation":[{"name":"Intelligent Systems Program, University of Pittsburgh, 3240 Craft Pl, Rm 322, Pittsburgh, PA 15213"},{"name":"Department of Radiology, University of Pittsburgh, Pittsburgh, Pa"},{"name":"Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pa"},{"name":"Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pa"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1577","reference":[{"key":"r1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21763"},{"key":"r2","doi-asserted-by":"publisher","DOI":"10.1023\/B:JOBM.0000019852.53048.b3"},{"key":"r3","doi-asserted-by":"publisher","DOI":"10.1186\/bcr1750"},{"key":"r4","doi-asserted-by":"publisher","DOI":"10.1016\/j.nurpra.2016.07.027"},{"key":"r5","doi-asserted-by":"publisher","DOI":"10.1126\/scitranslmed.aba4373"},{"key":"r6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43904-9_38"},{"key":"r7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108919"},{"key":"r8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72086-4_41"},{"key":"r9","doi-asserted-by":"publisher","DOI":"10.1186\/bcr1388"},{"key":"r10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2012.04.018"},{"key":"r11","doi-asserted-by":"publisher","DOI":"10.1111\/tbj.12255"},{"key":"r12","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.232780"},{"key":"r13","unstructured":"Strand F. CSAW-CC (mammography) \u2013 a dataset for AI research to improve screening, diagnostics and prognostics of breast cancer [dataset]. 2022."},{"key":"r14","doi-asserted-by":"publisher","DOI":"10.1118\/1.4736530"},{"key":"r15","doi-asserted-by":"publisher","DOI":"10.1186\/s13058-015-0626-8"},{"issue":"86","key":"r16","first-page":"2579","volume":"9","author":"van der Maaten L","year":"2008","journal-title":"J Mach Learn Res"},{"issue":"25","key":"r17","first-page":"723","volume":"13","author":"Gretton A","year":"2012","journal-title":"J Mach Learn Res"},{"issue":"4","key":"r18","first-page":"4396","volume":"45","author":"Zhou K","year":"2023","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"59","key":"r19","first-page":"1","volume":"17","author":"Ganin Y","year":"2016","journal-title":"J Mach Learn Res"}],"container-title":["Radiology: Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/pubs.rsna.org\/doi\/pdf\/10.1148\/ryai.250888","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T13:51:06Z","timestamp":1787752266000},"score":1,"resource":{"primary":{"URL":"http:\/\/pubs.rsna.org\/doi\/10.1148\/ryai.250888"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,1]]},"references-count":19,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,9,1]]}},"alternative-id":["10.1148\/ryai.250888"],"URL":"https:\/\/doi.org\/10.1148\/ryai.250888","relation":{},"ISSN":["2638-6100"],"issn-type":[{"value":"2638-6100","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,1]]},"article-number":"e250888"}}