{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T04:46:43Z","timestamp":1791953203604,"version":"4.3.4"},"reference-count":10,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T00:00:00Z","timestamp":1784592000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T00:00:00Z","timestamp":1784592000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-026-12767-2","type":"journal-article","created":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T12:38:35Z","timestamp":1784637515000},"page":"8525-8527","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Beyond detection: Does AI see prognosis in mammography?"],"prefix":"10.1007","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7953-8916","authenticated-orcid":false,"given":"Antonio","family":"Portaluri","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ritse M.","family":"Mann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,21]]},"reference":[{"key":"12767_CR1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.232479","volume":"311","author":"AD Lauritzen","year":"2024","unstructured":"Lauritzen AD, Lillholm M, Lynge E et al (2024) Early indicators of the impact of using AI in mammography screening for breast cancer. Radiology 311:e232479. https:\/\/doi.org\/10.1148\/radiol.232479","journal-title":"Radiology"},{"key":"12767_CR2","doi-asserted-by":"publisher","first-page":"e138","DOI":"10.1016\/S2589-7500(20)30003-0","volume":"2","author":"H-E Kim","year":"2020","unstructured":"Kim H-E, Kim HH, Han B-K et al (2020) Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study. Lancet Digit Health 2:e138\u2013e148. https:\/\/doi.org\/10.1016\/S2589-7500(20)30003-0","journal-title":"Lancet Digit Health"},{"key":"12767_CR3","doi-asserted-by":"publisher","unstructured":"Kim HJ, Chae EY, Eom HJ et al (2026) Long-term prognostic implications of AI-detected versus AI-undetected breast cancers on mammography: a propensity score-matched analysis. Eur Radiol. https:\/\/doi.org\/10.1007\/s00330-026-12493-9","DOI":"10.1007\/s00330-026-12493-9"},{"key":"12767_CR4","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1038\/s41591-024-03408-6","volume":"31","author":"N Eisemann","year":"2025","unstructured":"Eisemann N, Bunk S, Mukama T et al (2025) Nationwide real-world implementation of AI for cancer detection in population-based mammography screening. Nat Med 31:917\u2013924. https:\/\/doi.org\/10.1038\/s41591-024-03408-6","journal-title":"Nat Med"},{"key":"12767_CR5","doi-asserted-by":"publisher","first-page":"e175","DOI":"10.1016\/S2589-7500(24)00267-X","volume":"7","author":"V Hernstr\u00f6m","year":"2025","unstructured":"Hernstr\u00f6m V, Josefsson V, Sartor H et al (2025) Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, single-blinded, screening accuracy study. Lancet Digit Health 7:e175\u2013e183. https:\/\/doi.org\/10.1016\/S2589-7500(24)00267-X","journal-title":"Lancet Digit Health"},{"key":"12767_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.landig.2025.100882","volume":"7","author":"SL Van Winkel","year":"2025","unstructured":"Van Winkel SL, Peters J, Janssen N et al (2025) AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study. Lancet Digit Health 7:100882. https:\/\/doi.org\/10.1016\/j.landig.2025.100882","journal-title":"Lancet Digit Health"},{"key":"12767_CR7","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1001\/jamaoncol.2025.0167","volume":"11","author":"Y Zhang","year":"2025","unstructured":"Zhang Y, Rodriguez J, Mao X et al (2025) Incidence and risk factors of interval and screen-detected breast cancer. JAMA Oncol 11:519. https:\/\/doi.org\/10.1001\/jamaoncol.2025.0167","journal-title":"JAMA Oncol"},{"key":"12767_CR8","doi-asserted-by":"publisher","first-page":"1581","DOI":"10.1001\/jamaoncol.2020.3321","volume":"6","author":"M Salim","year":"2020","unstructured":"Salim M, W\u00e5hlin E, Dembrower K et al (2020) External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms. JAMA Oncol 6:1581. https:\/\/doi.org\/10.1001\/jamaoncol.2020.3321","journal-title":"JAMA Oncol"},{"key":"12767_CR9","doi-asserted-by":"publisher","first-page":"4825","DOI":"10.1007\/s00330-019-06186-9","volume":"29","author":"A Rodriguez-Ruiz","year":"2019","unstructured":"Rodriguez-Ruiz A, L\u00e5ng K, Gubern-Merida A et al (2019) Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study. Eur Radiol 29:4825\u20134832. https:\/\/doi.org\/10.1007\/s00330-019-06186-9","journal-title":"Eur Radiol"},{"key":"12767_CR10","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1097\/RLI.0000000000000358","volume":"52","author":"AS Becker","year":"2017","unstructured":"Becker AS, Marcon M, Ghafoor S et al (2017) Deep learning in mammography: diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer. Invest Radiol 52:434\u2013440. https:\/\/doi.org\/10.1097\/RLI.0000000000000358","journal-title":"Invest Radiol"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-026-12767-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-026-12767-2","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-026-12767-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T04:07:35Z","timestamp":1791950855000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-026-12767-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,21]]},"references-count":10,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2026,11]]}},"alternative-id":["12767"],"URL":"https:\/\/doi.org\/10.1007\/s00330-026-12767-2","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,21]]},"assertion":[{"value":"1 June 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 June 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The scientific guarantor of this publication is Antonio Portaluri.","order":1,"name":"Ethics","label":"Guarantor","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"R.M. Mann is an advisory Editorial Board member of\n                      European Radiology\n                      and, as such, he has not taken part in the review or selection processes for this article. He is a Deputy Editor for\n                      Radiology\n                      , chair of the scientific committee, and member of the executive board of the European Society of Breast Imaging, chair of the Dutch College of Breast Imaging. As such, they have not participated in the selection or review processes for this article. R.M. Mann declares having received grants or research support from the Dutch Research Council, ZonMW, European Research Council, Horizon Europe, Dutch Cancer Society, EFRO Oost, InHolland, Siemens Healthineers, Bayer Healthcare, Beckton & Dickinson, Screenpoint Medical, Lunit, Koning, and PA Imaging; consulting fees from Siemens, Bayer, Guerbet, Screenpoint Medical, Beckton & Dickinson; and honoraria for lectures from Siemens, Bayer, and Beckton & Dickinson.","order":2,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"No complex statistical methods were necessary for this paper.","order":3,"name":"Ethics","label":"Statistics and biometry","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"Not applicable.","order":4,"name":"Ethics","label":"Informed consent","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"Institutional Review Board approval was not required because this is a commentary.","order":5,"name":"Ethics","label":"Ethical approval","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"Not applicable.","order":6,"name":"Ethics","label":"Study subjects or cohorts overlap","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"order":7,"name":"Ethics","label":"Methodology","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}}]}}