3D evaluation model of facial aesthetics based on multi-input 3D convolution neural networks for orthognathic surgery.

This study provided an end-to-end solution using real clinical data based on 3D CNN to quantitatively evaluate facial aesthetics by considering three anatomical factors simultaneously, showing promising potential in reducing workload and bridging the surgeon-patient aesthetics perspective gap.