IntelliDent: an AI-based online automated framework for dental crown generation

Dental crown design is a critical aspect of dental care, required when teeth are missing, decayed, or fractured. Manual crown design is a time consuming and labor intensive process, often involving trial and error. Automating this process has the potential to revolutionize the dental industry by speeding up procedures and ensuring high quality crown designs at lower costs. This work aims to assist dental laboratories and dentists by providing an end-to-end framework for automated crown design using artificial intelligence. To automate this process, our framework involves registration of dental arches, segmentation of teeth, detection of prepped teeth, creation of context, design of crown shells, and generation of crown bottoms to seal the shells and produce personalized crowns. Each of the previous steps is either achieved by a dedicated deep learning model or a geometric script, and all models are integrated into a framework deployed online at Intellident (https://app.intellidentai.com/). We present unseen test cases to evaluate the performance of our automated model qualitatively and quantitatively. For 71 test cases, generating a crown takes between 2 to 4 minutes. The averages for chamfer L1 distance, chamfer L2 distance and L1 distance (mean square error) were 0.062, 0.0106 [mm], and 0.0028 [mm²], respectively.