Cephalometric Tracing: A Comparison Between Digital Analysis and Artificial Intelligence
Sponsor: University of Pavia
Trial Details
| Condition | Cephalometric Analysis, Cephalometry, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis |
| Intervention | Cephalometric Analysis |
| Status | Recruiting |
| Participants | 100 |
| Est. Completion | 30 Sept 2026 |
| Last Updated | 24 June 2026 |
Primary Outcome
Agreement between AI-based cephalometric analysis and digital manual tracing
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Availability of digital lateral cephalometric radiographs of adequate diagnostic quality * Radiographs acquired with patients in centric occlusion and proper head positioning using a cephalostat * Patients of any age and sex * Absence of congenital or acquired craniofacial anomalies * No previous orthodontic treatment * No previous orthognathic surgical treatment * Absence of agenesis of incisors or first molars * Absence of supernumerary teeth overlapping the region of interest Exclusion Criteria: * Radiographs presenting artifacts or inadequate visualization of anatomical structures * History of significant craniofacial trauma * Radiographs acquired without a cephalostat * Presence of severe skeletal asymmetries * Incomplete clinical or radiographic records * Radiographs unsuitable for manual or AI-based cephalometric landmark identification
Trial Sites
Countries
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