Emergence angle: Comprehensive analysis and machine learning prediction for clinical application.

Journal: Journal of prosthodontic research
Published Date: Dec 19, 2022

Abstract

PURPOSE: To analyze and compare the emergence angle (EA) using two measurement methods, conventional and modified (EA-GPT and EA-R), the EAs of all-natural teeth were evaluated and classified to derive a suitable and predictable clinically applicable measurement method.

Authors

  • Omnia Saleh
    Department of Masticatory Function and Health Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kosuke Nozaki
    Department of Advanced Prosthodontics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
  • Mayuko Matsumura
    Department of Masticatory Function and Health Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
  • Wataru Yanaka
    Department of Masticatory Function and Health Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
  • Ahmed Abdou
    Department of Prosthodontics Dentistry, Faculty of Dentistry, King Salman International University, Cairo, Egypt.
  • Hiroyuki Miura
    Department of Masticatory Function and Health Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kenji Fueki
    Department of Masticatory Function and Health Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.

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