Diagnostic Accuracy of Artificial Intelligence Models in Computed Tomography Interpretation of Chronic Rhinosinusitis: A Systematic Review
AI, particularly ResNets-based models, demonstrates promising diagnostic accuracy for CRS CT interpretation. However, methodological heterogeneity limits comparability, underscoring the need for standardized, multicenter validation and integration of clinical data to enhance generalizability.
Authors
- Noura Farhan Alanazi (ORCID: https://orcid.org/0009-0002-0833-9095)
- Abdulrahman I Alfayez
- Naif Alosaimi
- Tariq Abdulaziz Aldawood
- Riyadh Alhedaithy
Institutions
- King Saud bin Abdulaziz University for Health Sciences (SA)
- King Abdullah International Medical Research Center (SA)
- National Guard Health Affairs (SA)
Publication Details
- Journal
- Ear Nose & Throat Journal
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1177/01455613261423741
- Primary Topic
- Sinusitis and nasal conditions
- Type
- article
- Field-Weighted Citation Impact
- 0.00