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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| ISSN: | 2366-0058 |
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| DOI: | 10.1007/s00261-025-04910-2 |
