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. |
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| 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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