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Artificial intelligence for abdominopelvic trauma imaging: trends, gaps, and future directions.

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Title: Artificial intelligence for abdominopelvic trauma imaging: trends, gaps, and future directions.
Authors: Dreizin D; University of Maryland Trauma Radiology AI Laboratory (TRAIL), University of Maryland School of Medicine, Baltimore, USA.; Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, USA., Cheng CT; Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital Linkou, Linkou, Taoyuan, Taiwan., Liao CH; Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital Linkou, Linkou, Taoyuan, Taiwan., Jindal A; University of Maryland Trauma Radiology AI Laboratory (TRAIL), University of Maryland School of Medicine, Baltimore, USA., Colak E; Department of Medical Imaging, University of Toronto, Toronto, Canada. Errol.Colak@UnityHealth.to.; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada. Errol.Colak@UnityHealth.to.
Source: Abdominal radiology (New York) [Abdom Radiol (NY)] 2025 Oct; Vol. 50 (10), pp. 5028-5043. Date of Electronic Publication: 2025 Mar 21.
Publication Type: Journal Article; Review; Research Support, N.I.H., Intramural
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101674571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-0058 (Electronic) NLM ISO Abbreviation: Abdom Radiol (NY) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Artificial intelligence for abdominopelvic trauma imaging: trends, gaps, and future directions.
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  Data: <searchLink fieldCode="AU" term="%22Dreizin+D%22">Dreizin D</searchLink>; University of Maryland Trauma Radiology AI Laboratory (TRAIL), University of Maryland School of Medicine, Baltimore, USA.; Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, USA.<br /><searchLink fieldCode="AU" term="%22Cheng+CT%22">Cheng CT</searchLink>; Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital Linkou, Linkou, Taoyuan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liao+CH%22">Liao CH</searchLink>; Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital Linkou, Linkou, Taoyuan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Jindal+A%22">Jindal A</searchLink>; University of Maryland Trauma Radiology AI Laboratory (TRAIL), University of Maryland School of Medicine, Baltimore, USA.<br /><searchLink fieldCode="AU" term="%22Colak+E%22">Colak E</searchLink>; Department of Medical Imaging, University of Toronto, Toronto, Canada. Errol.Colak@UnityHealth.to.; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada. Errol.Colak@UnityHealth.to.
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  Data: <searchLink fieldCode="JN" term="%22101674571%22">Abdominal radiology (New York)</searchLink> [Abdom Radiol (NY)] 2025 Oct; Vol. 50 (10), pp. 5028-5043. <i>Date of Electronic Publication: </i>2025 Mar 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101674571 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2366-0058 (Electronic) <i>NLM ISO Abbreviation: </i>Abdom Radiol (NY) <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00261-025-04816-z
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              Text: 2025 Oct
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