A Systematic Review and Meta-Analysis for Dental Implant Recognition Using Machine Learning: Models, Diagnostic Performance, and Clinical Evidence

Abstract

Dental implant recognition using Machine Learning has gained increasing relevance in digital dentistry; however, the rapid expansion of publications and the heterogeneity of approaches, metrics, and validation contexts make it difficult to accurately identify which strategies demonstrate greater robustness and what gaps persist in the literature.