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. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41387761 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting biological sex in pediatric skeleton X-rays using artificial intelligence. – Name: Author Label: Authors Group: Au Data: <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, 8036, Graz, Styria, Austria.<br /><searchLink fieldCode="AU" term="%22Scherkl+M%22">Scherkl M</searchLink>; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria. mario.scherkl@medunigraz.at.<br /><searchLink fieldCode="AU" term="%22Stranger+N%22">Stranger N</searchLink>; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria.<br /><searchLink fieldCode="AU" term="%22Elsayed+H%22">Elsayed H</searchLink>; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria.<br /><searchLink fieldCode="AU" term="%22Singer+G%22">Singer G</searchLink>; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria.<br /><searchLink fieldCode="AU" term="%22Till+H%22">Till H</searchLink>; Department of Pediatric and Adolescent Surgery, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria.<br /><searchLink fieldCode="AU" term="%22Zellner+M%22">Zellner M</searchLink>; Department of Imaging, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Hržić+F%22">Hržić F</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Tschauner+S%22">Tschauner S</searchLink>; Division of Pediatric Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 34, 8036, Graz, Styria, Austria. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Dec 12; Vol. 15 (1), pp. 44366. <i>Date of Electronic Publication: </i>2025 Dec 12. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41387761 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-28197-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 44366 Titles: – TitleFull: Predicting biological sex in pediatric skeleton X-rays using artificial intelligence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Janisch M – PersonEntity: Name: NameFull: Scherkl M – PersonEntity: Name: NameFull: Stranger N – PersonEntity: Name: NameFull: Elsayed H – PersonEntity: Name: NameFull: Singer G – PersonEntity: Name: NameFull: Till H – PersonEntity: Name: NameFull: Zellner M – PersonEntity: Name: NameFull: Hržić F – PersonEntity: Name: NameFull: Tschauner S IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 12 Text: 2025 Dec 12 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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