Cover Image
QR Code

Artificial intelligence-based detection of atrial fibrillation from chest radiographs.

Published in:European Radiology Vol. 32; no. 9; pp. 5890 - 5898
Main Authors: Matsumoto, Toshimasa, Ehara, Shoichi, Walston, Shannon L., Mitsuyama, Yasuhito, Miki, Yukio, Ueda, Daiju
Format: Journal Article
Published: Springer Nature Sep2022
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158547034&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 158547034
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09387994
        NPH
      jtl: European Radiology
      issn: 09387994
      maglogo: N
    pubinfo:
      dt: Sep2022
      vid: 32
      iid: 9
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        158547034
        156040375
        10.1007/s00330-022-08752-0
        158547034
      ppf: 5890
      ppct: 8
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Artificial intelligence-based detection of atrial fibrillation from chest radiographs.
      aug:
        au:
          Matsumoto, Toshimasa
          Ehara, Shoichi
          Walston, Shannon L.
          Mitsuyama, Yasuhito
          Miki, Yukio
          Ueda, Daiju
        affil: Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, 545-8585, Osaka, Japan
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N