The use of artificial intelligence in predicting maximal intercuspal position: A feasibility study.

Journal: Journal of prosthodontic research
Published Date:

Abstract

PURPOSE: Artificial intelligence (AI) may be used to learn and predict the maxillomandibular relationship, particularly when the number of occluding teeth pairs is insufficient. This study aimed to investigate the feasibility of training a new two-stage coarse-to-fine teeth alignment pipeline AI system in predicting maxillomandibular relationships based on the occlusal morphology of antagonistic teeth.

Authors

  • Jiamin Wu
    Tsinghua University, Department of Automation, Beijing, China.
  • Ki Hin Yuen
    Prosthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR.
  • Yun Hong Lee
    Dental Materials Science, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR.
  • Ying Liu
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
  • James Kit Hon Tsoi
    Dental Materials Science, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong. Electronic address: jkhtsoi@hku.hk.
  • Walter Yu Hang Lam
    Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.