Real-world multimetric comparison of four commercial artificial intelligence solutions for intracranial hemorrhage detection.

Saved in:
Bibliographic Details
Title: Real-world multimetric comparison of four commercial artificial intelligence solutions for intracranial hemorrhage detection.
Authors: Kim J; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Republic of Korea., Lee HY; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Republic of Korea., Eun J; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Neurosurgery, Seoul, Republic of Korea., Im S; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Neurosurgery, Seoul, Republic of Korea., Min EJ; The Catholic University of Korea, College of Medicine, Department of Medical Life Sciences, Seoul, Republic of Korea., Oh SW; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Republic of Korea.
Source: Diagnostic and interventional radiology (Ankara, Turkey) [Diagn Interv Radiol] 2026 Jul 17. Date of Electronic Publication: 2026 Jul 17.
Publication Type: Journal Article
Journal Info: Publisher: Galenos Publishing House Country of Publication: Turkey NLM ID: 101241152 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1305-3612 (Electronic) Linking ISSN: 13053825 NLM ISO Abbreviation: Diagn Interv Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42464524
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Real-world multimetric comparison of four commercial artificial intelligence solutions for intracranial hemorrhage detection.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+HY%22">Lee HY</searchLink>; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Eun+J%22">Eun J</searchLink>; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Neurosurgery, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Im+S%22">Im S</searchLink>; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Neurosurgery, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Min+EJ%22">Min EJ</searchLink>; The Catholic University of Korea, College of Medicine, Department of Medical Life Sciences, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Oh+SW%22">Oh SW</searchLink>; Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Republic of Korea.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101241152%22">Diagnostic and interventional radiology (Ankara, Turkey)</searchLink> [Diagn Interv Radiol] 2026 Jul 17. <i>Date of Electronic Publication: </i>2026 Jul 17.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Galenos+Publishing+House%22">Galenos Publishing House </searchLink><i>Country of Publication: </i>Turkey <i>NLM ID: </i>101241152 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1305-3612 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213053825%22">13053825 </searchLink><i>NLM ISO Abbreviation: </i>Diagn Interv Radiol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42464524
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.4274/dir.2026.263984
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Real-world multimetric comparison of four commercial artificial intelligence solutions for intracranial hemorrhage detection.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kim J
      – PersonEntity:
          Name:
            NameFull: Lee HY
      – PersonEntity:
          Name:
            NameFull: Eun J
      – PersonEntity:
          Name:
            NameFull: Im S
      – PersonEntity:
          Name:
            NameFull: Min EJ
      – PersonEntity:
          Name:
            NameFull: Oh SW
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 17
              M: 07
              Text: 2026 Jul 17
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1305-3612
          Titles:
            – TitleFull: Diagnostic and interventional radiology (Ankara, Turkey)
              Type: main
ResultId 1