Artificial Intelligence in Laryngeal Endoscopy: Systematic Review and Meta-Analysis.

ABSTRACT:

Background

Early diagnosis of laryngeal lesions is necessary to begin treatment of patients as soon as possible to preserve optimal organ functions. Imaging examinations are often aided by artificial intelligence (AI) to improve quality and facilitate appropriate diagnosis. The aim of this study is to investigate diagnostic utility of AI in laryngeal endoscopy.

Methods

Five databases were searched for studies implementing artificial intelligence (AI) enhanced models assessing images of laryngeal lesions taken during laryngeal endoscopy. Outcomes were analyzed in terms of accuracy, sensitivity, and specificity.

Results

All 11 studies included presented an overall low risk of bias. The overall accuracy of AI models was very high (from 0.806 to 0.997). The accuracy was s

SUBMITTER: Zurek M 

PROVIDER: S-EPMC9144710 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature