Performance assessment of five artificial intelligence‐based algorithms for automated tooth segmentation and labeling on intraoral scans

Key Points

• This research evaluates the performance of various AI algorithms for tooth segmentation and labeling from intraoral scans.
• Comparison of five AI algorithms for their segmentation and labeling performance.
• Evaluation based on the completeness of dentition.
• Benchmarking against expert human annotation.
• MovumStudio algorithm demonstrated the most robust performance.
• Results were consistent and comparable to expert human annotation.