Artificial intelligence in radiology: how will we be affected?
| Publicado en: | European Radiology Vol. 29; no. 1; pp. 141 - 144 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jan2019
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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=133531136&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133531136 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jan2019 vid: 29 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133531136 133531136 NLM30027407 10.1007/s00330-018-5644-3 NLM30027407 133531136 ppf: 141 ppct: 3 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Artificial intelligence in radiology: how will we be affected? aug: au: Wong, S. H. Al-Hasani, H. Alam, Z. Alam, A. affil: Epsom and St Helier University Hospitals NHS Trust, SM5 1AA, Surrey, UK sug: subj: Diagnosis, Computer Assisted Methods Artificial Intelligence Specialties, Medical Methods pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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