Detection of spheno-occipital synchondrosis fusion stages using artificial intelligence
These findings demonstrate that YOLO-based AI models can provide precise, rapid, and reproducible SOS assessments, offering valuable support for both clinical decision-making and forensic investigations.
Authors
- Cengiz Evli (ORCID: https://orcid.org/0000-0003-4391-2408)
- Güldane Mağat (ORCID: https://orcid.org/0000-0003-4418-174X)
- Sultan Uzun (ORCID: https://orcid.org/0000-0003-3743-055X)
Institutions
- Ankara University (TR)
- Necmettin Erbakan University (TR)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-11-12
- DOI
- https://doi.org/10.3389/fphys.2025.1682917
- Primary Topic
- Child Abuse and Related Trauma
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Necmettin Erbakan Üniversitesi