Machine learning model to predict the width of maxillary central incisor from anthropological measurements.

Journal: Journal of prosthodontic research
PMID: 37853625

Abstract

PURPOSE: To improve smile esthetics, clinicians should comprehensively analyze the face and ensure that the sizes selected for the maxillary anterior teeth are compatible with the available anthropological measurements. The inter commissural (ICW), interalar (IAW), intermedial-canthus (MCW), interlateral-canthus (LCW), and interpupillary (IPW) widths are used to determine the width of maxillary central incisors (CW). The aim of this study was to develop an automated approach using machine learning (ML) algorithms to predict central incisor width in a young Turkish population using anthropological measurements. This automation can contribute to digital dentistry and clinical decision-making.

Authors

  • Remya Ampadi Ramachandran
    1DATA Consortium, Computational Comparative Medicine, Department of Mathematics, K-State Olathe, Olathe, USA.
  • Merve Koseoglu
    Associate Professor, Department of Prosthodontics, Faculty of Dentistry, University of Sakarya, Sakarya, Turkey; and PhD student, Department of Prosthodontics, Faculty of Dentistry, University of Ataturk, Erzurum, Turkey.
  • Hatice Özdemir
    Department of Prosthodontics, Faculty of Dentistry, University of Ataturk, Erzurum, Turkey.
  • Funda Bayindir
    Department of Prosthodontics, Faculty of Dentistry, University of Ataturk, Erzurum, Turkey.
  • Cortino Sukotjo
    Department of Prosthodontics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Keywords

External Resources

Popular Topics
Recent Journals