Artificial intelligence based sonographic differentiation between skull fractures and normal sutures in young children.
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| Title: | Artificial intelligence based sonographic differentiation between skull fractures and normal sutures in young children. |
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| Authors: | Hankel S; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Austria., Till H; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Austria. holger.till@medunigraz.at., Schweintzger G; Department of Pediatrics, Hospital Hochsteiermark, Leoben, Austria., Kraxner C; Department of Pediatrics, Hospital Hochsteiermark, Leoben, Austria., Singer G; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Austria., Stranger N; Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria., Till T; Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria., Tschauner S; Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria. |
| Source: | Scientific reports [Sci Rep] 2025 Oct 23; Vol. 15 (1), pp. 37006. Date of Electronic Publication: 2025 Oct 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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