Not Yet RecruitingNot Applicable

Assessment of Accuracy and Aesthetics Following Automated Mandibular Defect Reconstruction Using AI

4 participantsStarted 2025-05-01

Plain-language summary

The Aim of the study is to evaluate Accuracy of automated mandibular defect reconstruction using Artificial intelligence and assessing impact on aesthetic and occlusion outcomes using patient-specific reconstruction plates.

Who can participate

Age range18 Years – 55 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Patients with mandibular tumors, cysts or any benign disease resulting in mandibular continuity defect. * Age group: from 18 - 55 years old. * No sex predilection. * CTs or CBCTs of only healthy mandibles from an online database and real data. Exclusion Criteria: * Patients with mandibular malignant lesions. * Children age group from 2-17. * CTs Of maxilla. * Elderly patients to be excluded due to the normal physiologic bony change.

What they're measuring

Accuracy Of the virtually Generated 3D model using AI

Timeframe: baseline

Accuracy of AI generated model clinically

Timeframe: baseline

Trial details

NCT IDNCT06945692

SponsorCairo University

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2026-04-01

Contact for this trial

Sarah Moustafa. Moustafa, MSc.

56794540 sarah.elayoutti@dentistry.cu.edu.eg

View on ClinicalTrials.gov More Mandibular Tumor trials