Evaluation of the accuracy of automated tooth segmentation of intraoral scans using artificial intelligence-based software packages.

Journal: American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
PMID: 38904564

Abstract

INTRODUCTION: The accuracy of tooth segmentation in intraoral scans is crucial for performing virtual setups and appliance fabrication. Hence, the objective of this study was to estimate and compare the accuracy of automated tooth segmentation generated by the artificial intelligence of dentOne software (DIORCO Co, Ltd, Yongin, South Korea) and Medit Ortho Simulation software (Medit Corp, Seoul, South Korea).

Authors

  • Yomna M Yacout
    Department of Orthodontics, Faculty of Dentistry, Alexandria University, Alexandria, Egypt. Electronic address: yomna.yacout@alexu.edu.eg.
  • Farah Y Eid
    Department of Orthodontics, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.
  • Mostafa A Tageldin
    Department of Orthodontics, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.
  • Hassan E Kassem
    Department of Orthodontics, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.

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