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Neural Network to Calculate Morphology of the Cleft Palate to Reduce Cleft Lip and Palate Treatment Burden.
Sponsor: University Hospital, Basel, Switzerland
Summary
This study is to develop a neural network to compute palatal three dimensional (3D) geometry by using routinely taken intraoral/palatal photographs and palatal casts of infants with cleft lip and palate deformity for reducing cleft lip and palate treatment burden. Data of palatal casts and palatal images of cleft patients routinely treated at the University Hospital Basel will be analyzed.The collection of large data helps in developing a neural network that will allow the computation of the 3D geometry from single photographs.
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
450
Start Date
2020-03-05
Completion Date
2025-12
Last Updated
2025-03-24
Healthy Volunteers
No
Conditions
Interventions
data collection of palatal casts and palatal images of cleft patients routinely treated at the institution
data collection of palatal casts and palatal images of cleft patients, using routinely taken intraoral/palatal photographs and palatal casts of infants with cleft lip and palate deformity
Locations (1)
Mund-, Kiefer- und Gesichtschirurgie, Universitätsspital Basel
Basel, Switzerland