aesthetics matter.
Phase 1
CBCT and photogrammetric scans, along with portrait photographs, are collected from a large pool of subjects.
Phase 2
A diverse group of individuals participate in creating rank-ordered lists of the subjects. These rankings undergo analysis, are modeled into a normal distribution, and then averaged.
Phase 3
Deep learning techniques are used to predict facial structures corresponding to higher percentiles of the distribution while ensuring the outcomes remain realistic and appear natural. Surgery plans and implants are developed based on these predictions.
Phase 4
Bespoke implants and surgery plans are provided to surgeons for implementation.
Phase 1
CBCT and photogrammetric scans, along with portrait photographs, are collected from a large pool of subjects.
Phase 2
A diverse group of individuals participate in creating rank-ordered lists of the subjects. These rankings undergo analysis, are modeled into a normal distribution, and then averaged.
Phase 3
Deep learning techniques are used to predict facial structures corresponding to higher percentiles of the distribution while ensuring the outcomes remain realistic and appear natural. Surgery plans and implants are developed based on these predictions.
Phase 4
Bespoke implants and surgery plans are provided to surgeons for implementation.