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Effect of an AI Prediction Model of Facial Changes After Orthodontic Treatment of Patients With Bimaxillary Protrusion

NCT07066423 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 45

Last updated 2025-07-15

No results posted yet for this study

Summary

After developing an Artificial Intelligence model to predict the facial changes of patients with bimaxillary protrusion following orthodontic extraction of premolars and tooth retraction, participants will view a prediction in the form of a picture generated by the AI model, and their motivation will be measured using a questionnaire. Their satisfaction will be evaluated using another questionnaire after they complete their treatment. A comparison will then be made between the actual results and the AI-predicted results.

Conditions

  • Bimaxillary Protrusion

Interventions

OTHER

Ai prediction photo of the patients

Ai prediction photo generated by specially designed ai model to help patients see how they will look after orthodontic extraction and retraction

PROCEDURE

Fixed orthodontic brackets with premolars extraction

Subjects will undergo orthodontic fixed brackets treatment, four premolar extractions from the mandibular and maxillary arches, followed by anterior segment retraction. This treatment will achieve dental alignment, profile, and facial enhancement.

Sponsors & Collaborators

  • Mansoura University

    lead OTHER

Principal Investigators

  • Shaza Hammad, professor · Mansoura University

  • Marwa Shamaa, Professor · Mansoura University

  • Ahmed Kamel, Lecturer · Mansoura University

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
16 Years
Max Age
30 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-11-01
Primary Completion
2025-09-15
Completion
2025-11-01

Countries

  • Egypt

Study Locations

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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 NCT07066423 on ClinicalTrials.gov