Morphology in Oral Rare Syndromes & Artificial Intelligence for Clinical Diagnosis

MOSAIC aims to determine whether oro-dental morphological anomalies, particularly palatal morphology, associated with rare bone and cartilage diseases can be precisely characterized using 3D digital models analysed through geometric morphometrics. The study will also evaluate whether these morphological signatures can train an artificial intelligence (AI) algorithm to classify syndromes. A prospective monocentric case-control cohort will be constituted, including 3D intra-oral scans and associated clinical data. The final goal is to improve diagnostic accuracy and reduce diagnostic delay in rare bone disorders.

NCT Number	NCT07666269
Lead Sponsor	University Hospital, Bordeaux Collaborators: UMR 1026 BioTis, UMR 5199 PACEA, UMR 5259 LAMCOS
Conditions	Osteogenesis Imperfecta, Rare Bone Disorders, Hypophosphatemia, X-Linked, Mucopolysaccharidoses, Tooth Abnormalities, Palate; Deformity, Artificial Intelligence (AI) +1 more
Enrollment	240 participants
Start Date	2026-09-01
Primary Completion	2028-03-01 (estimated)
Study Completion	2028-03-01 (estimated)
Updated on ClinicalTrials.gov	2026-06-24