How does artificial intelligence in radiology improve efficiency and health outcomes?
| Publicado en: | Pediatric Radiology Vol. 52; no. 11; pp. 2087 - 2094 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2022
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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=159531172&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159531172 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03010449 O03 jtl: Pediatric Radiology issn: 03010449 maglogo: N pubinfo: dt: Oct2022 vid: 52 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 159531172 150846141 10.1007/s00247-021-05114-8 159531172 ppf: 2087 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: How does artificial intelligence in radiology improve efficiency and health outcomes? aug: au: van Leeuwen, Kicky G. de Rooij, Maarten Schalekamp, Steven van Ginneken, Bram Rutten, Matthieu J. C. M. affil: Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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