Predicting biological sex in pediatric skeleton X-rays using artificial intelligence.

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Title: Predicting biological sex in pediatric skeleton X-rays using artificial intelligence.
Authors: Janisch M; Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, 8036, Graz, Styria, Austria., Scherkl M; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria. mario.scherkl@medunigraz.at., Stranger N; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria., Elsayed H; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria., Singer G; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria., Till H; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria., Zellner M; Department of Imaging, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland., Hržić F; Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Radmile Matejčić 2, 51000, Rijeka, Primorsko-Goranska, Croatia.; Department of Orthopaedic Surgery and Sports Medicine, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA, 02445, USA., Tschauner S; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria.
Source: Scientific reports [Sci Rep] 2025 Dec 12; Vol. 15 (1), pp. 44366. Date of Electronic Publication: 2025 Dec 12.
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
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-28197-x