Artificial intelligence for otosclerosis detection on temporal bone CT: a diagnostic study
AI-based CT analysis demonstrated promising diagnostic performance in otosclerosis, especially in cases initially reported as normal. Integration of AI into otologic imaging may enhance diagnostic reliability, surgical planning, and patient management.
Authors
- Recep Yağız (ORCID: https://orcid.org/0000-0003-2004-2139)
- Ahmet Köder (ORCID: https://orcid.org/0000-0003-4348-8109)
- Oğuzhan Erdem (ORCID: https://orcid.org/0000-0002-0020-3858)
- Nur Banu Hancı (ORCID: https://orcid.org/0009-0002-1022-000X)
- Ekber Can Astana (ORCID: https://orcid.org/0009-0006-7744-4920)
- Yunus Emre Dinç (ORCID: https://orcid.org/0000-0002-8946-448X)
- Nurseli Hancı (ORCID: https://orcid.org/0009-0007-6766-4855)
Institutions
- Trakya University (TR)
Publication Details
- Journal
- Acta Oto-Laryngologica
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1080/00016489.2025.2588812
- Primary Topic
- Ear Surgery and Otitis Media
- Type
- article
- Field-Weighted Citation Impact
- 0.00