Deep learning for named entity recognition in Turkish radiology reports
Our approach provides clinicians with more precise and comprehensive insights to improve patient care by extracting relevant information from radiology reports. This innovation in information extraction streamlines the diagnostic process and helps expedite patient treatment decisions.
Authors
- Murat Can Ganiz (ORCID: https://orcid.org/0000-0001-8338-991X)
- Ceren Aydın (ORCID: https://orcid.org/0000-0002-5113-2404)
- Ural Koç (ORCID: https://orcid.org/0000-0002-8189-2885)
- Muhammet Batuhan Gökhan (ORCID: https://orcid.org/0000-0002-3579-7887)
- Ali Bahadır Özdemir
- Aisha A. Abdullahi (ORCID: https://orcid.org/0009-0001-4918-212X)
Institutions
- Memorial Ankara Hospital (TR)
- Başkent University Hospital (TR)
Publication Details
- Journal
- Diagnostic and Interventional Radiology
- Published
- 2025-02-28
- DOI
- https://doi.org/10.4274/dir.2025.243100
- Citations
- 1
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 2.48