Effect of Automated AI-Designed Presurgical Plate Therapy on Cleft Size Reduction in Newborns With Cleft Lip and Palate: A Comparative Observational Study
Led by University Hospital, Basel, Switzerland · Updated on 2025-05-16
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Participants Needed
2
Research Sites
21 weeks
Total Duration
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Brief Title
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University Hospital, Basel, Switzerland
Lead Sponsor
U
University of Basel
Collaborating Sponsor
AI-Summary
What this Trial Is About
This research investigates whether passive plate therapy designed using automated artificial intelligence (AI) can reduce cleft size in newborns with unilateral cleft lip and palate. The study compares infants receiving AI-designed passive plates to those receiving no presurgical therapy, aiming to assess cleft width reduction from birth to primary surgery around 4 months of age. The study is observational and non-randomized, enrolling infants from two clinical sites with differing standard practices.
Infants in the therapy group will be fitted shortly after birth with a custom passive plate designed through an AI-driven digital workflow using intraoral scans. These plates are 3D printed and worn continuously until primary surgical repair. Infants in the comparison group will receive no presurgical orthopedic intervention. All participants undergo intraoral scans at birth and/or surgery to measure cleft size.
Participants will have intraoral scans shortly after birth and again at primary surgery to digitally measure cleft width and calculate reduction percentages. The study monitors cleft size change using validated 3D imaging techniques. Data from both groups will be statistically analyzed to compare anatomical outcomes. Participation involves routine procedures aligned with standard cleft treatment timelines, with no additional interventions or medications.
CONDITIONS
Brief Title
Clinical Application of Artificial Intelligence in New Borns With Cleft Lip and Palate
Who Can Participate
Age: 1Day - 6Months
All Genders
Eligibility Criteria
You may qualify if you...
Infants diagnosed with unilateral cleft lip and palate
Enrollment within the first 14 days of life for the treatment group
Scheduled for cleft surgery at approximately 4 months of age
Medically stable and fit for intraoral scanning and surgery
Parent or legal guardian has provided written informed consent
You will not qualify if you...
Syndromic cleft lip and palate or other craniofacial syndromes
Bilateral cleft lip and palate
Significant medical conditions affecting feeding, growth, or surgery such as cardiac anomalies
Premature birth before 37 weeks gestational age
Prior presurgical orthopedic intervention received elsewhere
Guardians or parents unwilling or unable to comply with study procedures and follow-up
AI-Screening
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Complete this quick 3-step screening to check your eligibility
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Your Study Journey
Screening
Duration - Within the first 2 weeks of life
Participants are screened for eligibility to participate in the trial.
1 visit (in-person) for enrollment and baseline intraoral scan
Treatment
Duration - Approximately 4 months until primary surgery
Participants in the intervention group wear an AI-designed passive plate continuously from shortly after birth until their primary cleft surgery. The plate is custom designed using intraoral scans and 3D printing to reduce cleft size prior to surgery.
Continuous use of the passive plate with regular clinical monitoring visits as per routine care
Treatment
Duration - Approximately 4 months until primary surgery
Participants in the no presurgical therapy group do not receive any passive plate intervention. They continue with routine care until primary surgery.
Routine clinical follow-up visits as per standard care
Primary Surgery
Duration - 1 day
Participants undergo primary cleft lip and palate surgical repair around 4 months of age. Intraoral scans are performed again at this time to assess cleft width.
1 visit (in-person) for surgery and intraoral scan
Three-Dimensional Morphological Changes of the True Cleft under Passive Presurgical Orthopaedics in Unilateral Cleft Lip and Palate: A Retrospective Cohort Study.
Prasad Nalabothu, Benito K Benitez, Michel Dalstra...