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ARTIFICIAL INTELLIGENCE MODELS MAY MATCH THE ACCURACY OF MANUAL SEGMENTATION IN CBCT MEASUREMENTS.

Created on 16 Mar 2026

Authors

Kisa Iqbal, Michael Chen, Shannon Wong, Sami Chogle

Published in

The journal of evidence-based dental practice. Volume 26. Issue 1. Pages 102195. Epub Aug 23, 2025.

Abstract

Evaluating tooth segmentation accuracy and time efficiency in CBCT images using artificial intelligence: A systematic review and Meta-analysis. Xiang, B., Lu, J., & Yu, J. (2024). Evaluating tooth segmentation accuracy and time efficiency in CBCT images using artificial intelligence: a systematic review and Meta-analysis. J Dentist, 146, 105064.
This study was supported by the Shenzhen Natural Science Fund.
Systematic review with meta-analysis of data.

PMID:
41833426
Bibliographic data and abstract were imported from PubMed on 16 Mar 2026.

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