Marginal and internal fit of endo-crowns: AI-based evaluation

根管修复体边缘和内部密合度:基于人工智能的评估

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Abstract

The internal and marginal adaptation of endo-crown restorations fabricated using traditional and digital impression techniques is described. Artificial intelligence (AI) was used to analyze high-resolution imaging data obtained through digital scanning and micro-computed tomography. Results showed that endo-crowns produced with digital impressions exhibited superior fit compared to those made with conventional methods. AI-based analysis provided more accurate and consistent measurements than manual evaluation. Thus, we show AI's potential to enhance the precision of prosthodontic assessments.

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