Classification of Salivary Gland Tumors on Ultrasound Using Artificial Intelligence: A Systematic Review and Meta‐Analysis
Artificial intelligence models demonstrate strong diagnostic accuracy in ultrasound-based classification of salivary gland tumors. These results highlight the potential of artificial intelligence as a diagnostic tool, though broader validation is needed before routine clinical implementation.
Authors
- C.H. Kim (ORCID: https://orcid.org/0000-0003-1604-4975)
- Shaun A. Nguyen (ORCID: https://orcid.org/0000-0003-0664-4571)
- Jason G. Newman (ORCID: https://orcid.org/0000-0002-4700-360X)
- Jesse Murdaugh
- Isabelle J. Chau
- Lauren R. McCray
Institutions
- Medical University of South Carolina (US)
- New York Medical College (US)
- Baylor College of Medicine (US)
- Nova Southeastern University (US)
Publication Details
- Journal
- Otolaryngology
- Published
- 2026-01-04
- DOI
- https://doi.org/10.1002/ohn.70102
- Primary Topic
- Salivary Gland Tumors Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00