Development of Artificial Intelligence-Supported Automatic Three-Dimensional Surface Cephalometry.

Journal: Orthodontics & craniofacial research
Published Date:

Abstract

OBJECTIVE: Surface-based three-dimensional (3D) cephalometry provides detailed clinical information for the analysis of craniofacial structures. This study aimed to develop an automated 3D surface cephalometry system using mesh fitting based on landmarks identified by artificial intelligence (AI) and to evaluate its accuracy.

Authors

  • Chihiro Tanikawa
    Graduate School of Dentistry, Osaka University, Suita, Japan.
  • Hiroyuki Nakamura
    Department of Hygiene and Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Japan.
  • Takaaki Mimura
    Technology Management Division, UEL Corporation, Koto-ku, Tokyo, Japan.
  • Yume Uemura
    Department of Orthodontics and Dentofacial Orthopedics, Graduate School of Dentistry, Osaka University, Suita, Osaka, Japan.
  • Takashi Yamashiro
    Graduate School of Dentistry, Osaka University, Suita, Japan.