NCT04342234

Neural Network to Calculate Morphology of the Cleft Palate to Reduce Cleft Lip and Palate Treatment Burden.

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 450 (estimated)
• Sponsor: University Hospital, Basel, Switzerland · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

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.

Conditions

• Cleft Palate
• Orofacial Cleft

Interventions

Type	Name	Description
OTHER	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

Timeline

• Start date: 2020-03-05
• Primary completion: 2025-12-01
• Completion: 2025-12-01
• First posted: 2020-04-10
• Last updated: 2025-03-24

Locations

1 site across 1 country: Switzerland