Efficacy of artificial intelligence in radiographic dental age estimation of patients undergoing dental maturation: A systematic review and meta-analysis.

Journal: International orthodontics
Published Date: May 2, 2025

Abstract

BACKGROUND: Dental age (DA) estimation, crucial for appropriate orthodontic and paediatric treatment planning, traditionally relies on the analysis of developmental stages of teeth. Artificial intelligence (AI) has been increasingly employed for DA estimation through dental radiographs. The current study aimed to systematically review the literature on the application of AI models for radiographic DA estimation among subjects undergoing dental maturation.

Authors

  • Soheil Shahbazi
    Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Saharnaz Esmaeili
    Dental Research Center, Research Institute for Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Shahab Kavousinejad
    Department of Orthodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Farnaz Younessian
    Section of Orthodontics, School of Dentistry, University of California, Los Angeles, CA, United States.
  • Mohammad Behnaz
    Department of Orthodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: m.behnaz@sbmu.ac.ir.

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