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Updated: May 25, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
Published on: February 23, 2024
Artificial intelligence system for automatic tooth detection and numbering in the mixed dentition in CBCT
S Ozudogru1, E Gulsen2, T Mahyaddinova2
1Department of Pediatric Dentistry, Faculty of Dentistry, Istanbul Medeniyet University, Istanbul, Turkey.
Aim:
To evaluate the effectiveness and accuracy of artificial intelligence (AI) by automating tooth segmentation in CBCT volumes of paediatric patients with mixed dentition, using nnU-Netv2 algorithm.
Background:
Identifying and numbering teeth, the initial step in treatment planning, demands an efficient method.
Conclusion:
AI models offer a promising approach in the mixed dentition period and play a valuable role in dentists' planning in terms of time and effort.
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