Artificial intelligence system for automatic tooth detection and numbering in the mixed dentition in CBCT
Abstract
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.I Want to Write a Scientific Research Project
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