Why AI evaluation should reflect its clinical role in mammography.
| Publicado en: | European Radiology Vol. 35; no. 12; pp. 8228 - 8230 |
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| Autor principal: | |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189534097&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189534097 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Dec2025 vid: 35 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 189534097 186669943 10.1007/s00330-025-11861-1 189534097 ppf: 8228 ppct: 2 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Why AI evaluation should reflect its clinical role in mammography. aug: au: Verboom, Sarah D. affil: https://ror.org/05wg1m734 Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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