Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade.
| Publicado en: | Skeletal Radiology Vol. 53; no. 9; pp. 1849 - 1869 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2024
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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=178855513&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 178855513 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03642348 O14 jtl: Skeletal Radiology issn: 03642348 maglogo: N pubinfo: dt: Sep2024 vid: 53 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 178855513 177981640 10.1007/s00256-024-04684-6 178855513 ppf: 1849 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade. aug: au: Ruitenbeek, Huibert C. Oei, Edwin H. G. Visser, Jacob J. Kijowski, Richard affil: https://ror.org/018906e22 Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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