Comparison of the diagnostic performance of the artificial intelligence-based TIRADS algorithm with established classification systems for thyroid nodules
The AI-TIRADS can enhance thyroid nodule risk stratification by improving diagnostic specificity and reducing unnecessary biopsies, potentially leading to more efficient patient management and better utilization of healthcare resources.
Authors
- Yeliz Başar (ORCID: https://orcid.org/0000-0002-1321-3617)
- Koray Güven (ORCID: https://orcid.org/0000-0001-8572-1998)
- Abdilkadir Bozkuş (ORCID: https://orcid.org/0009-0002-0241-7144)
Institutions
- Kent Hastanesi (TR)
- Acıbadem Adana Hospital (TR)
- Turkish Society of Cardiology (TR)
Publication Details
- Journal
- Diagnostic and Interventional Radiology
- Published
- 2025-09-01
- DOI
- https://doi.org/10.4274/dir.2025.253428
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65