Actively Recruiting
Neural Network to Calculate Morphology of the Cleft Palate to Reduce Cleft Lip and Palate Treatment Burden.
Led by University Hospital, Basel, Switzerland · Updated on 2025-03-24
450
Participants Needed
1
Research Sites
299 weeks
Total Duration
On this page
Sponsors
U
University Hospital, Basel, Switzerland
Lead Sponsor
B
Botnar Research Centre for Child Health (BRCCH)
Collaborating Sponsor
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Neural Network to Calculate Morphology of the Cleft Palate to Reduce Cleft Lip and Palate Treatment Burden.
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with cleft lip and palate malformation with available routinely performed plaster cast model from palatal impressions, intraoral scans from the palate and corresponding images of the cleft palate (1970 till 2025)
You will not qualify if you...
- Existence of a documented rejection
AI-Screening
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Trial Site Locations
Total: 1 location
1
Mund-, Kiefer- und Gesichtschirurgie, Universitätsspital Basel
Basel, Switzerland, 4031
Actively Recruiting
Research Team
B
Benito Benitez, Dr. med. Dr. med. dent.
CONTACT
A
Andreas Müller, PD Dr. med. Dr. med. dent. Dr.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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