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The Validity and Reliability of Automatic Tooth Segmentation Generated Using Artificial Intelligence.

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Summary

Artificial intelligence (AI) software CephX® accurately creates segmented tooth models (STMs) from intraoral scans, offering a fast and effective tool for orthodontic treatment planning in mild crowding cases.

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Area of Science:

  • Orthodontics
  • Dental Imaging
  • Artificial Intelligence in Dentistry

Background:

  • Accurate dental models are crucial for effective orthodontic treatment planning.
  • Traditional methods for creating segmented tooth models can be time-consuming.
  • Evaluating novel AI-driven approaches for dental model generation is essential.

Purpose of the Study:

  • To assess the precision of artificial intelligence (AI)-generated segmented tooth models (STMs) using the CephX® software.
  • To compare the accuracy of STMs produced by CephX® with those derived from intraoral scans (IOS) and Insignia™ outcomes.
  • To evaluate root volume measurements between CephX® and Insignia™ systems.

Main Methods:

  • 10 patients with Class I malocclusion and mild-to-moderate crowding underwent nonextraction orthodontic therapy.
  • Intraoral scans (IOS) and CBCT scans were acquired before treatment.
  • AI (CephX®) generated 280 STMs in DICOM and STL formats; root volumes were measured and compared using OnDemand3D and Geomagic® Control X™ software.
  • Intraclass correlation (ICC), paired t-tests, and ANOVA were used for statistical analysis.

Main Results:

  • The study demonstrated good agreement between measurements using ICC analysis.
  • No significant differences were found in measurements between tooth types on the right and left sides.
  • There were no significant differences in accuracy between the DICOM, CephX® (STL), and IOS (STL) tooth models.

Conclusions:

  • The automatic AI approach using CephX® shows high precision for segmented tooth models.
  • CephX® is a fast and effective tool suitable for clinical practice in patients with mild crowding and no restorations.
  • AI-driven dental modeling offers a promising advancement in orthodontic workflow efficiency.