Dental implant brand and angle identification using deep neural networks.

Journal: The Journal of prosthetic dentistry
Published Date: Sep 15, 2023

Abstract

STATEMENT OF PROBLEM: Determining the brand and angle of an implant clinically or radiographically can be challenging. Whether artificial intelligence can assist is unclear.

Authors

  • Burcu Tiryaki
    Department of Electrical Electronic Engineering, Faculty of Engineering, Ataturk University, Erzurum, Turkey.
  • Alper Ozdogan
    Atatürk University, 25240, Erzurum, Turkey.
  • Mustafa Taha Güller
    Department of Oral, Dental and Maxillofacial Radiology, Faculty of Dentistry, Giresun University, Giresun, 28200, Turkey.
  • Ozkan Miloglu
    Department of Oral Diagnosis and Dentomaxillofacial Radiology, Faculty of Dentistry, Ataturk University, Erzurum, Turkey. omiloglu@hotmail.com.
  • Emin Argun Oral
    Department of Electrical Electronic Engineering, Faculty of Engineering, Ataturk University, Erzurum, Turkey.
  • İbrahim Yucel Ozbek
    Department of Electrical Electronic Engineering (High Performance Comp Applicat & Res Ctr), Ataturk University, Erzurum, Turkey.

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