RecruitingNCT07664488

Cephalometric Tracing: A Comparison Between Digital Analysis and Artificial Intelligence

Sponsor: University of Pavia

Trial Details

ConditionCephalometric Analysis, Cephalometry, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis
InterventionCephalometric Analysis
StatusRecruiting
Participants100
Est. Completion30 Sept 2026
Last Updated24 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

Italy
View Registry Entry

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