Automated Identification of Dental Implants: A New, Fast and Accurate Artificial Intelligence System.

Journal: The European journal of prosthodontics and restorative dentistry
PMID: 38088267

Abstract

INTRODUCTION: Prosthetic complications that occur to some implant prosthetics may require removal of the prosthesis for replacement or repair. Therefore, the presence of a technique to identify the type of dental implant is mandatory to provide the suitable components. Hence, the aim of the current study was to evaluate the accuracy of YOLOv8 object detection algorithm in automatic identification of the type of dental implant from digital periapical radiographs.

Authors

  • N A Hassan
    Lecturer, Prosthodontics Department, Faculty of Dentistry, Cairo University, Cairo, Egypt.
  • A E Kamel
    Faculty of Computer and Artificial Intelligence, Helwan University, Cairo, Egypt.
  • A E Omran
    Faculty of Computer and Artificial Intelligence, Helwan University, Cairo, Egypt.
  • M W Gad
    Faculty of Computer and Artificial Intelligence, Helwan University, Cairo, Egypt.
  • N M Ashraf
    Faculty of Computer and Artificial Intelligence, Helwan University, Cairo, Egypt.
  • O M Ahmed
    Faculty of Computer and Artificial Intelligence, Helwan University, Cairo, Egypt.
  • M A Abdel-Fattah
    Professor, Department of Information Systems, Faculty of Computer and Artificial Intelligence, Helwan University, Cairo, Egypt.

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