{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T11:00:21Z","timestamp":1790852421273,"version":"4.1.0"},"reference-count":19,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["academicradiology.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Academic Radiology"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.acra.2026.06.020","type":"journal-article","created":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T22:19:13Z","timestamp":1784067553000},"page":"4349-4360","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence\u2013Based Computer-Aided Detection in Breast Cancer Diagnosis: Variation by Breast Density, Imaging Feature, and Tumor Characteristics"],"prefix":"10.1016","volume":"33","author":[{"given":"Natalia","family":"Eugene","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chirag","family":"Parghi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jafer","family":"Elabeid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Pantleo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nelda","family":"Gonzalez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Avishkar","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3062-3511","authenticated-orcid":false,"given":"Zi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.acra.2026.06.020_bib1","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1186\/s13244-024-01673-0","article-title":"AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ","volume":"15","author":"Yoon","year":"2024","journal-title":"Insights Imaging"},{"key":"10.1016\/j.acra.2026.06.020_bib2","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejro.2023.100509","article-title":"Artificial intelligence-based computer-assisted detection\/diagnosis (AI-CAD) for screening mammography: outcomes of AI-CAD in the mammographic interpretation workflow","volume":"11","author":"Yoon","year":"2023","journal-title":"Eur J Radiol Open"},{"key":"10.1016\/j.acra.2026.06.020_bib3","unstructured":"A. Gwosdow. Improving reading time of digital breast tomosynthesis with concurrent computer aided detection, 2017. Available at: \u3008https:\/\/www.icadmed.com\/wp-content\/uploads\/2023\/11\/DMM232-Pivotal-Concurrent-CAD-Studies-Rev-A.pdf\u3009."},{"issue":"3","key":"10.1016\/j.acra.2026.06.020_bib4","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.2019180089","article-title":"The rebirth of CAD: how is modern AI different from the CAD we know?","volume":"1","author":"Oakden-Rayner","year":"2019","journal-title":"Radiol Artif Intell"},{"issue":"1","key":"10.1016\/j.acra.2026.06.020_bib5","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1148\/radiol.10092170","article-title":"Interpretation time of computer-aided detection at screening mammography","volume":"257","author":"Tchou","year":"2010","journal-title":"Radiology"},{"issue":"4","key":"10.1016\/j.acra.2026.06.020_bib6","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1093\/jbi\/wbaa033","article-title":"Artificial intelligence: a primer for breast imaging radiologists","volume":"2","author":"Bahl","year":"2020","journal-title":"J Breast Imaging"},{"key":"10.1016\/j.acra.2026.06.020_bib7","unstructured":"AI Breast Cancer Detection. iCAD Med. 2024. Available at: \u3008https:\/\/www.icadmed.com\/breast-health\/ai-breast-cancer-detection\/\u3009 (Accessed December 2025)."},{"key":"10.1016\/j.acra.2026.06.020_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2024.111393","article-title":"Artificial intelligence and explanation: how, why, and when to explain black boxes","volume":"173","author":"Marcus","year":"2024","journal-title":"Eur J Radiol"},{"issue":"9","key":"10.1016\/j.acra.2026.06.020_bib9","article-title":"Can artificial intelligence beat humans in detecting breast malignancy on mammograms?","volume":"15","author":"Malik","year":"2023","journal-title":"Cureus"},{"issue":"1","key":"10.1016\/j.acra.2026.06.020_bib10","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1186\/s43055-023-01129-3","article-title":"Performance of AI-aided mammography in breast cancer diagnosis: does breast density matter?","volume":"54","author":"Badawy","year":"2023","journal-title":"Egypt J Radiol Nucl Med"},{"issue":"5","key":"10.1016\/j.acra.2026.06.020_bib11","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.231137","article-title":"Risk prediction in mammography: detecting cancers before they become clinically apparent","volume":"307","author":"Mann","year":"2023","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.acra.2026.06.020_bib12","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1148\/rg.352140134","article-title":"Breast density: clinical implications and assessment methods","volume":"35","author":"Winkler","year":"2015","journal-title":"RadioGraphics"},{"issue":"5","key":"10.1016\/j.acra.2026.06.020_bib13","doi-asserted-by":"crossref","first-page":"S405","DOI":"10.1016\/j.jacr.2025.02.023","article-title":"ACR appropriateness criteria\u00ae supplemental breast cancer screening based on breast density: 2024 update","volume":"22","author":"Paulis","year":"2025","journal-title":"J Am Coll Radiol"},{"issue":"5","key":"10.1016\/j.acra.2026.06.020_bib14","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.222679","article-title":"Evaluation of an AI model to assess future breast cancer risk","volume":"307","author":"Damiani","year":"2023","journal-title":"Radiology"},{"issue":"6","key":"10.1016\/j.acra.2026.06.020_bib15","doi-asserted-by":"crossref","first-page":"2239","DOI":"10.1016\/j.acra.2023.12.006","article-title":"Artificial intelligence for breast cancer detection on mammography: factors related to cancer detection","volume":"31","author":"Yoen","year":"2024","journal-title":"Acad Radiol"},{"key":"10.1016\/j.acra.2026.06.020_bib16","first-page":"1","article-title":"Commercial artificial intelligence (AI) tool for screening digital breast tomosynthesis: factors associated with ai-based breast cancer detection","author":"Bahl","year":"2026","journal-title":"AJR Am J Roentgenol"},{"issue":"2","key":"10.1016\/j.acra.2026.06.020_bib17","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.230227","article-title":"Assessing breast cancer risk by combining AI for lesion detection and mammographic texture","volume":"308","author":"Lauritzen","year":"2023","journal-title":"Radiology"},{"issue":"10527","key":"10.1016\/j.acra.2026.06.020_bib18","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/S0140-6736(25)02464-X","article-title":"Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial","volume":"407","author":"Gommers","year":"2026","journal-title":"Lancet"},{"issue":"1","key":"10.1016\/j.acra.2026.06.020_bib19","doi-asserted-by":"crossref","DOI":"10.1148\/rg.220060","article-title":"New horizons: artificial intelligence for digital breast tomosynthesis","volume":"43","author":"Goldberg","year":"2023","journal-title":"RadioGraphics"}],"container-title":["Academic Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226004332?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226004332?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T10:51:33Z","timestamp":1790851893000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1076633226004332"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":19,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["S1076633226004332"],"URL":"https:\/\/doi.org\/10.1016\/j.acra.2026.06.020","relation":{},"ISSN":["1076-6332"],"issn-type":[{"value":"1076-6332","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial Intelligence\u2013Based Computer-Aided Detection in Breast Cancer Diagnosis: Variation by Breast Density, Imaging Feature, and Tumor Characteristics","name":"articletitle","label":"Article Title"},{"value":"Academic Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.acra.2026.06.020","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Association of Academic Radiology. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}