Accuracy of cephalometric landmark identification by artificial intelligence platform versus expert orthodontist in unilateral cleft palate patients: A retrospective study.

Journal: International orthodontics
Published Date:

Abstract

OBJECTIVE: The primary aim of the study was to evaluate the accuracy of automated artificial intelligence (AI) cephalometric landmark identification in cleft patients and compare it to landmarks identified by an expert orthodontist. The secondary objective was to compare cephalometric measurements obtained by both methods.

Authors

  • Mostafa A Tageldin
    Department of Orthodontics, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.
  • Yomna Mohamed Yacout
    Department of Orthodontics, Faculty of Dentistry, Alexandria University, Champollion St., Azarita, 21521 Alexandria, Egypt. Electronic address: yomna.yacout@alexu.edu.eg.
  • Farah Y Eid
    Department of Orthodontics, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.
  • Sherief H Abdelhafiz
    Department of Orthodontics, Faculty of Dentistry, Alexandria University, Champollion St., Azarita, 21521 Alexandria, Egypt.