Diagnosis of temporomandibular disorders using artificial intelligence technologies: A systematic review and meta-analysis.

ABSTRACT:

Background

Artificial intelligence (AI) algorithms have been applied to diagnose temporomandibular disorders (TMDs). However, studies have used different patient selection criteria, disease subtypes, input data, and outcome measures. Resultantly, the performance of the AI models varies.

Objective

This study aimed to systematically summarize the current literature on the application of AI technologies for diagnosis of different TMD subtypes, evaluate the quality of these studies, and assess the diagnostic accuracy of existing AI models.

Materials and methods

The study protocol was carried out based on the preferred reporting items for systematic review and meta-analysis protocols (PRISMA). The PubMed, Embase, and Web of Science databases were searched to find relevant

SUBMITTER: Jha N 

PROVIDER: S-EPMC9387829 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature