Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know.

Bibliographic Details
Published in:Pediatric Radiology Vol. 52; no. 11; pp. 2101 - 2111
Main Authors: Meshaka, Riwa, Pinto Dos Santos, Daniel, Arthurs, Owen J., Sebire, Neil J., Shelmerdine, Susan C.
Format: Journal Article
Published: Springer Nature Oct2022
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159531173&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 159531173
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        03010449
        O03
      jtl: Pediatric Radiology
      issn: 03010449
      maglogo: N
    pubinfo:
      dt: Oct2022
      vid: 52
      iid: 11
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        159531173
        151187232
        10.1007/s00247-021-05129-1
        159531173
      ppf: 2101
      ppct: 10
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know.
      aug:
        au:
          Meshaka, Riwa
          Pinto Dos Santos, Daniel
          Arthurs, Owen J.
          Sebire, Neil J.
          Shelmerdine, Susan C.
        affil: Department of Clinical Radiology, Great Ormond Street Hospital for Children, WC1N 3JH, London, UK
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N