Technology clinically validated by experts

Full virtual patient generated by artificial intelligence-driven integrated segmentation of craniomaxillofacial structures from CBCT images

Convolutional neural network-based automated maxillary alveolar bone segmentation on cone-beam computed tomography images.

Automated detection and labelling of teeth and small edentulous regions on cone-beam computed tomography using convolutional neural networks

AI and AR technologies can be successfully used in guided implant surgery for authentic 3D planning that may replace conventional software.

The fully automated segmentation process recently gained importance due to its better design and understanding of CNNs. Considering this, we decided to develop our in-house segmentation software and compare it to the systems of established companies, an inexperienced user, and an expert as ground truth.

Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography – A validation study