Choosing the right artificial intelligence solutions for your radiology department: key factors to consider.
| Publicado en: | Diagnostic & Interventional Radiology Vol. 30; no. 6; pp. 357 - 366 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Galenos Yayinevi Tic. LTD. STI
Nov2024
|
| 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=180730709&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180730709 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13053825 39NM jtl: Diagnostic & Interventional Radiology issn: 13053825 maglogo: N pubinfo: dt: Nov2024 vid: 30 iid: 6 pid: 28155 pub: Galenos Yayinevi Tic. LTD. STI artinfo: ui: 180730709 10.4274/dir.2024.232658 180730709 ppf: 357 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Choosing the right artificial intelligence solutions for your radiology department: key factors to consider. aug: au: Alis, Deniz Tanyel, Toygar Meltem, Emine Seker, Mustafa Ege Seker, Delal Karakaş, Hakkı Muammer Karaarslan, Ercan Öksüz, İlkay affil: Acıbadem Mehmet Ali Aydınlar University Faculty of Medicine, Department of Radiology, İstanbul, Türkiye sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|