Morphology in Oral Rare Syndromes & Artificial Intelligence for Clinical Diagnosis

Starting soon · Not applicable

Conditions studied: Osteogenesis Imperfecta, Rare Bone Disorders, Hypophosphatemia, X-Linked, Mucopolysaccharidoses, Tooth Abnormalities, Palate; Deformity, Artificial Intelligence (AI), Machine Learning

In brief

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.

Key facts

Study ID
NCT07666269
Run by
University Hospital, Bordeaux
People needed
240
Starts
2026-09-01
Expected to finish
2028-03-01
Last updated by the study team
2026-06-24

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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