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Impact of Test Set Composition on AI Performance for Pediatric Radiograph Appendicular Skeleton Fracture Detection.

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Title: Impact of Test Set Composition on AI Performance for Pediatric Radiograph Appendicular Skeleton Fracture Detection.
Authors: Stranger N; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria., Scherkl M; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria., Stütz D; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria., Janisch M; Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, Graz 8036, Austria., Singer G; Department of Pediatric and Adolescence Surgery, Medical University of Graz, Graz, Austria., Hankel S; Department of Pediatric and Adolescence Surgery, Medical University of Graz, Graz, Austria., Till H; Department of Pediatric and Adolescence Surgery, Medical University of Graz, Graz, Austria., Sackl M; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria., Hržić F; Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Rijeka, Croatia.; Department of Orthopaedic Surgery and Sports Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Mass., Herzog S; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria., Tschauner S; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.
Source: Radiology [Radiology] 2026 Feb; Vol. 318 (2), pp. e250540.
Publication Type: Journal Article
Journal Info: Publisher: Radiological Society of North America Country of Publication: United States NLM ID: 0401260 Publication Model: Print Cited Medium: Internet ISSN: 1527-1315 (Electronic) Linking ISSN: 00338419 NLM ISO Abbreviation: Radiology Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Impact of Test Set Composition on AI Performance for Pediatric Radiograph Appendicular Skeleton Fracture Detection.
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  Data: <searchLink fieldCode="AU" term="%22Stranger+N%22">Stranger N</searchLink>; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Scherkl+M%22">Scherkl M</searchLink>; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Stütz+D%22">Stütz D</searchLink>; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Janisch+M%22">Janisch M</searchLink>; Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, Graz 8036, Austria.<br /><searchLink fieldCode="AU" term="%22Singer+G%22">Singer G</searchLink>; Department of Pediatric and Adolescence Surgery, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Hankel+S%22">Hankel S</searchLink>; Department of Pediatric and Adolescence Surgery, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Till+H%22">Till H</searchLink>; Department of Pediatric and Adolescence Surgery, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Sackl+M%22">Sackl M</searchLink>; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Hržić+F%22">Hržić F</searchLink>; Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Rijeka, Croatia.; Department of Orthopaedic Surgery and Sports Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Mass.<br /><searchLink fieldCode="AU" term="%22Herzog+S%22">Herzog S</searchLink>; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Tschauner+S%22">Tschauner S</searchLink>; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.
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  Data: <searchLink fieldCode="JN" term="%220401260%22">Radiology</searchLink> [Radiology] 2026 Feb; Vol. 318 (2), pp. e250540.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Radiological+Society+of+North+America%22">Radiological Society of North America </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0401260 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-1315 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200338419%22">00338419 </searchLink><i>NLM ISO Abbreviation: </i>Radiology <i>Subsets: </i>MEDLINE
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        Value: 10.1148/radiol.250540
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      – TitleFull: Impact of Test Set Composition on AI Performance for Pediatric Radiograph Appendicular Skeleton Fracture Detection.
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              Text: 2026 Feb
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              Y: 2026
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