top of page
3D model.jpg

Our work with dental 3D models

Influence of Intraoral Scanners, Operators, and Data Processing on Dimensional Accuracy of Dental Casts for Clinical Machine Learning

This study assessed the impact of intraoral scanner type, operator, and data augmentation on the dimensional accuracy of in vitro dental cast digital scans. It also evaluated the validation accuracy of an unsupervised machine-learning model trained with these scans.

IJD Scanner 2023.jpg

Using 3D neural networks and novel workflows in the dental prostheses fabrication process

This multiphase, invitro study developed and validated a 3-dimensional convolutional neural network (3D-CNN) to generate partial dental crowns (PDC) for use in restorative dentistry.

sci rep 2023 title.jpg
bottom of page