Evaluating potential for AI automation of quantitative and semi-quantitative MRI scoring in arthritis, especially at the knee: a systematic literature review.
| Publicado en: | Skeletal Radiology Vol. 54; no. 11; pp. 2339 - 2350 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2025
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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=188242776&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188242776 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03642348 O14 jtl: Skeletal Radiology issn: 03642348 maglogo: N pubinfo: dt: Nov2025 vid: 54 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 188242776 184033923 10.1007/s00256-025-04922-5 188242776 ppf: 2339 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Evaluating potential for AI automation of quantitative and semi-quantitative MRI scoring in arthritis, especially at the knee: a systematic literature review. aug: au: McDonald, Steel M. Felfeliyan, Banafshe Hassan, Ali Küpper, Jessica C. El-Hajj, Rehab Wichuk, Stephanie Aneja, Ashmeen Kwok, Cherise Zhang, Cindy X. Y. Jans, Lennart Herregods, Nele Hareendranathan, Abhilash R. Jaremko, Jacob L. affil: https://ror.org/0160cpw27 Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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