An artificial intelligence system using machine-learning for automatic detection and classification of dental restorations in panoramic radiography.

Journal: Oral surgery, oral medicine, oral pathology and oral radiology
Published Date: Jun 3, 2020

Abstract

OBJECTIVES: The aim of this study was to develop a computer vision algorithm based on artificial intelligence, designed to automatically detect and classify various dental restorations on panoramic radiographs.

Authors

  • Ragda Abdalla-Aslan
    Researcher, Attending Physician, Department of Oral and Maxillofacial Surgery, Rambam Health Care Campus, Haifa, Israel.
  • Talia Yeshua
    Lecturer, Department of Applied Physics/Electro-optics Engineering, The Jerusalem College of Technology, Jerusalem, Israel.
  • Daniel Kabla
    Department of Electrical and Electronics Engineering, The Jerusalem College of Technology, Jerusalem, Israel.
  • Isaac Leichter
    Professor Emeritus, Department of Applied Physics/Electro-optics Engineering, The Jerusalem College of Technology, Jerusalem, Israel.
  • Chen Nadler
    Lecturer, Oral Maxillofacial Imaging Unit, Oral Medicine Department, the Hebrew University, Hadassah School of Dental Medicine, Ein Kerem, Hadassah Medical Center Jerusalem, Israel. Electronic address: Nadler@hadassah.org.il.

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