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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| ISSN: | 1305-3612 |
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| DOI: | 10.4274/dir.2025.253301 |
