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

NCT06945692 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 4

Last updated 2025-04-25

No results posted yet for this study

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.

Conditions

  • Mandibular Tumor

Interventions

PROCEDURE

patient specific reconstruction plates

Use of patient specific reconstruction plates on the 3-D virtually-generated defect using Artificial Intelligence.

Sponsors & Collaborators

  • Cairo University

    lead OTHER

Principal Investigators

  • Sarah Moustafa, MSc. · Cairo University

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
55 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-05-01
Primary Completion
2026-04-01
Completion
2026-05-01

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06945692 on ClinicalTrials.gov