A Novel Artificial Intelligence Approach to Kennedy Classification for Partially Edentulous Patients Using Panoramic Radiographs.

Journal: The European journal of prosthodontics and restorative dentistry
Published Date: May 28, 2025

Abstract

OBJECTIVES: This study aimed to develop an artificial intelligence system for automated classification of partially edentulous arches from panoramic radiographs using the Kennedy classification system and Applegate's rules, alongside identifying existing teeth for automated reporting.

Authors

  • N A Hassan
    Lecturer, Prosthodontics Department, Faculty of Dentistry, Cairo University, Cairo, Egypt.
  • A Abdelmongi
    Faculty of Computer and Artificial intelligence, Helwan University Cairo, Egypt.
  • S Magdi
    Faculty of Computer and Artificial intelligence, Helwan University Cairo, Egypt.
  • M Shaltout
    Faculty of Computer and Artificial intelligence, Helwan University Cairo, Egypt.
  • Y Aboelhasan
    Faculty of Computer and Artificial intelligence, Helwan University Cairo, Egypt.
  • Y Elhariry
    Faculty of Computer and Artificial intelligence, Helwan University Cairo, Egypt.
  • E H Mohamed
    Associate Professor at School of Information Technology and Computer Science, Nile University, Giza, Egypt.

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