External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT.
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| Title: | External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT. |
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| Authors: | Kirpalani A; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada., Viel T; NVIDIA, Paris, France., Hu Z; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada., Lin HM; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada., Hermans S; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada., Gomez D; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.; Division of General Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Surgery, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.; Institute for Medical Science, University of Toronto, Toronto, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada., Moreland R; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada., Mathur S; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada., Jhaveri A; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada., Wu M; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada., Vlachou PA; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada., Tafur M; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada., Sejdić E; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada.; North York General Hospital, Toronto, Canada., Colak E; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada. Errol.Colak@unityhealth.to.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada. Errol.Colak@unityhealth.to.; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada. Errol.Colak@unityhealth.to. |
| Source: | Abdominal radiology (New York) [Abdom Radiol (NY)] 2025 Nov; Vol. 50 (11), pp. 5581-5590. Date of Electronic Publication: 2025 May 02. |
| Publication Type: | Journal Article; Validation Study |
| 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40312490 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kirpalani+A%22">Kirpalani A</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Viel+T%22">Viel T</searchLink>; NVIDIA, Paris, France.<br /><searchLink fieldCode="AU" term="%22Hu+Z%22">Hu Z</searchLink>; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Lin+HM%22">Lin HM</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Hermans+S%22">Hermans S</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Gomez+D%22">Gomez D</searchLink>; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.; Division of General Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Surgery, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.; Institute for Medical Science, University of Toronto, Toronto, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Moreland+R%22">Moreland R</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Mathur+S%22">Mathur S</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Jhaveri+A%22">Jhaveri A</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Wu+M%22">Wu M</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Vlachou+PA%22">Vlachou PA</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Tafur+M%22">Tafur M</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Sejdić+E%22">Sejdić E</searchLink>; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada.; North York General Hospital, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Colak+E%22">Colak E</searchLink>; Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada. Errol.Colak@unityhealth.to.; Department of Medical Imaging, Temetry Faculty of Medicine, University of Toronto, Toronto, Canada. Errol.Colak@unityhealth.to.; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada. Errol.Colak@unityhealth.to. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101674571%22">Abdominal radiology (New York)</searchLink> [Abdom Radiol (NY)] 2025 Nov; Vol. 50 (11), pp. 5581-5590. <i>Date of Electronic Publication: </i>2025 May 02. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Validation Study – Name: TitleSource Label: Journal Info Group: Src 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 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40312490 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00261-025-04910-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5581 Titles: – TitleFull: External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kirpalani A – PersonEntity: Name: NameFull: Viel T – PersonEntity: Name: NameFull: Hu Z – PersonEntity: Name: NameFull: Lin HM – PersonEntity: Name: NameFull: Hermans S – PersonEntity: Name: NameFull: Gomez D – PersonEntity: Name: NameFull: Moreland R – PersonEntity: Name: NameFull: Mathur S – PersonEntity: Name: NameFull: Jhaveri A – PersonEntity: Name: NameFull: Wu M – PersonEntity: Name: NameFull: Vlachou PA – PersonEntity: Name: NameFull: Tafur M – PersonEntity: Name: NameFull: Sejdić E – PersonEntity: Name: NameFull: Colak E IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Nov Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2366-0058 Numbering: – Type: volume Value: 50 – Type: issue Value: 11 Titles: – TitleFull: Abdominal radiology (New York) Type: main |
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