Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review.

ABSTRACT:

Objectives

To summarize the current evidence on the performance of artificial intelligence (AI) algorithms for the temporomandibular joint (TMJ) disc assessment and TMJ internal derangement diagnosis in magnetic resonance imaging (MRI) images.

Methods

Studies were gathered by searching 5 electronic databases and partial grey literature up to May 27, 2024. Studies in humans using AI algorithms to detect or diagnose internal derangements in MRI images were included. The methodological quality of the studies was evaluated using the Quality Assessment Tool for Diagnostic of Accuracy Studies-2 (QUADAS-2) and a proposed checklist for dental AI studies.

Results

Thirteen studies were included in this systematic review. Most of the studies assessed disc position. One study ass

SUBMITTER: Manek M 

PROVIDER: S-EPMC11800278 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature