Diagnostic accuracy of artificial intelligence in the detection of maxillary sinus pathology using computed tomography: A concise systematic review.
Saved in:
| Title: | Diagnostic accuracy of artificial intelligence in the detection of maxillary sinus pathology using computed tomography: A concise systematic review. |
|---|---|
| Authors: | Uthman AT; Department of Diagnostic and Surgical Dental Sciences, College of Dentistry, Gulf Medical University, Ajman, UAE.; College of Dentistry, Al- Furqan University, Mosul, Nineveh, Iraq., Abouelenen H; Department of Diagnostic and Surgical Dental Sciences, College of Dentistry, Gulf Medical University, Ajman, UAE., Khan S; Department of Diagnostic and Surgical Dental Sciences, College of Dentistry, Gulf Medical University, Ajman, UAE., Bseiso O; Department of Diagnostic and Surgical Dental Sciences, College of Dentistry, Gulf Medical University, Ajman, UAE., Al-Rawi N; Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, Sharjah, UAE. |
| Source: | Imaging science in dentistry [Imaging Sci Dent] 2025 Mar; Vol. 55 (1), pp. 1-10. Date of Electronic Publication: 2025 Jan 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Korean Academy of Oral and Maxillofacial Radiology Country of Publication: Korea (South) NLM ID: 101559249 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2233-7822 (Print) Linking ISSN: 22337822 NLM ISO Abbreviation: Imaging Sci Dent Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2233-7822 |
|---|---|
| DOI: | 10.5624/isd.20240139 |
