Accuracy of artificial intelligence in orthodontic extraction treatment planning: a systematic review and meta analysis.

ABSTRACT:

Background

This study aimed to evaluate the diagnostic accuracy of artificial intelligence (AI) models in predicting dental extractions during orthodontic treatment planning.

Method

A systematic review and meta-analysis were conducted following PRISMA guidelines and registered in PROSPERO (CRD42024582455). Comprehensive searches were performed across PubMed, Scopus, Web Of Science, and Google Scholar up to June 2, 2025. Eligible cross-sectional studies assessing AI-based models against clinical standards were included. Data on model performance were extracted and pooled using a random-effects model. Subgroup and meta-regression analyses were conducted to explore heterogeneity.

Results

Seven cross-sectional studies from six countries with a combined sample of 6,261 pat

SUBMITTER: Ziaei S 

PROVIDER: S-EPMC12512631 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature