Impact of a computed tomography-based artificial intelligence software on radiologists' workflow for detecting acute intracranial hemorrhage.
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| Title: | Impact of a computed tomography-based artificial intelligence software on radiologists' workflow for detecting acute intracranial hemorrhage. |
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| Authors: | Kim J; The Catholic University of Korea, Eunpyeong St. Mary's Hospital College of Medicine, Department of Radiology, Seoul, Korea., Jang J; Seoul St. Mary's Hospital College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Korea.; Applied Artificial Intelligence Research (A2IR), Institute for Precision Health (IPH), University of California, Irvine, USA., Oh SW; The Catholic University of Korea, Eunpyeong St. Mary's Hospital College of Medicine, Department of Radiology, Seoul, Korea., Lee HY; The Catholic University of Korea, Eunpyeong St. Mary's Hospital College of Medicine, Department of Radiology, Seoul, Korea., Min EJ; The Catholic University of Korea College of Medicine, Department of Medical Life Sciences, Seoul, Korea., Choi JW; Ajou University School of Medicine, Ajou University Hospital, Department of Radiology, Suwon, Korea., Ahn KJ; Seoul St. Mary's Hospital College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Korea. |
| Source: | Diagnostic and interventional radiology (Ankara, Turkey) [Diagn Interv Radiol] 2025 Sep 08; Vol. 31 (5), pp. 518-525. Date of Electronic Publication: 2025 Jul 07. |
| 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 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40622194 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Impact of a computed tomography-based artificial intelligence software on radiologists' workflow for detecting acute intracranial hemorrhage. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; The Catholic University of Korea, Eunpyeong St. Mary's Hospital College of Medicine, Department of Radiology, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Jang+J%22">Jang J</searchLink>; Seoul St. Mary's Hospital College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Korea.; Applied Artificial Intelligence Research (A2IR), Institute for Precision Health (IPH), University of California, Irvine, USA.<br /><searchLink fieldCode="AU" term="%22Oh+SW%22">Oh SW</searchLink>; The Catholic University of Korea, Eunpyeong St. Mary's Hospital College of Medicine, Department of Radiology, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+HY%22">Lee HY</searchLink>; The Catholic University of Korea, Eunpyeong St. Mary's Hospital College of Medicine, Department of Radiology, Seoul, 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, Korea.<br /><searchLink fieldCode="AU" term="%22Choi+JW%22">Choi JW</searchLink>; Ajou University School of Medicine, Ajou University Hospital, Department of Radiology, Suwon, Korea.<br /><searchLink fieldCode="AU" term="%22Ahn+KJ%22">Ahn KJ</searchLink>; Seoul St. Mary's Hospital College of Medicine, The Catholic University of Korea, Department of Radiology, Seoul, Korea. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101241152%22">Diagnostic and interventional radiology (Ankara, Turkey)</searchLink> [Diagn Interv Radiol] 2025 Sep 08; Vol. 31 (5), pp. 518-525. <i>Date of Electronic Publication: </i>2025 Jul 07. – 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=40622194 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.4274/dir.2025.253301 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 518 Titles: – TitleFull: Impact of a computed tomography-based artificial intelligence software on radiologists' workflow for detecting acute intracranial hemorrhage. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim J – PersonEntity: Name: NameFull: Jang J – PersonEntity: Name: NameFull: Oh SW – PersonEntity: Name: NameFull: Lee HY – PersonEntity: Name: NameFull: Min EJ – PersonEntity: Name: NameFull: Choi JW – PersonEntity: Name: NameFull: Ahn KJ IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 09 Text: 2025 Sep 08 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1305-3612 Numbering: – Type: volume Value: 31 – Type: issue Value: 5 Titles: – TitleFull: Diagnostic and interventional radiology (Ankara, Turkey) Type: main |
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