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NCT Number: NCT07066423

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

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.

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This study is active but is not currently recruiting participants.

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Key information

Conditions

Bimaxillary Protrusion Disease Attributes Facies Pathologic Processes Pathological Conditions, Signs and Symptoms

Age range

16 year–30 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Mansoura university

Al Mansurah, Dakahlia Governorate, 35111, Egypt

About this study

Subjects will be selected according to the inclusion criteria previously listed, and they will present the needed records for participating in the study. After taking initial photos of the patients before treatment, these photos will be uploaded to the AI model to generate the prediction photo, the selected subjects for the prediction group will view their AI-predicted photo, and their motivation will be evaluated by a questionnaire.

The control group will not view a prediction photo; they will answer the motivation questionnaire only.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adult cases age range from 16 to 30 years old
  • Skeletal Bimaxillary protrusion with SNA and SNB increased
  • Dental bimaxillary protrusion with U1- SN and IMP a increased angles
  • Class I canine and molar angle classification
  • Free from any systemic disease
  • free from any dental surgery

Exclusion criteria

Clefts of the lip or palate and craniofacial syndromes; orthognathic patients will not be included because they do not represent the general adult orthodontic population

Treatment and study plan

Ai prediction photo of the patients

Other

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

Fixed orthodontic brackets with premolars extraction

Procedure

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.

Primary outcomes

  1. Participants motivation for treatment

    Time frame: from three weeks to six months

    The motivation questionnaire will be performed to test if the prediction picture will affect their motivation to continue the treatment and proceed with the extraction decision. The questions will be in the multiple-choice format.

    Open-ended comments were allowed at the end of each question to collect data concerning reasons, barriers, and encouraging factors that the authors may not have considered.

    The questionnaire Arabic version will be used as it was validated by authors Felemban et al. in 2022. Based on the English version used by Chambers et al. 2019 and Laothong et al. in 2017, a modification will be added to the questionnaire regarding a question about how the prediction picture affected their motivation.

    After the treatment of each case, a 5-point Likert scale will be used to measure their satisfaction with the treatment and whether the net result matches the AI prediction, with 1 for not satisfied at all and 5 for satisfied.

Sponsors and collaborators

Lead sponsor

Mansoura University

Other

Registry information

Official study title

Impact Of Artificial Intelligence-Based Prediction of Facial Changes in Bimaxillary Protrusion Cases on Patient Motivation and Satisfaction

Acronym: Ai

Important dates

Study start
2023
Primary completion
2025
Study completion
2025
First posted
Jul 15, 2025
Registry last updated
Jul 15, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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