The Role of Artificial Intelligence in Cephalometric-Based TMJ Disorder Prediction

Abstract

This research paper investigates the role of cephalometric analysis in treatment planning for temporomandibular joint (TMJ) disorders. By integrating findings from 25 peer‐reviewed studies, we explore the diagnostic accuracy, prognostic implications, and treatment efficacy associated with cephalometric parameters in patients with TMJ dysfunction. Advanced statistical tests were employed to analyze data from multiple centers, providing a comprehensive view of cephalometric outcomes. The analysis highlights significant correlations between specific cephalometric measurements and TMJ pathology, offering insights into improved patient stratification and individualized therapy planning. The findings underscore the utility of cephalometric analysis not only as a diagnostic tool but also as a guide in the development of targeted treatment protocols for TMJ disorders.