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

Mansoura University

Status: Active, not recruiting

Conditions: Bimaxillary Protrusion

Treatments: Other: Ai prediction photo of the patients; Procedure: Fixed orthodontic brackets with premolars extraction

Study type: Interventional

Funder types: Other

Identifiers

NCT07066423

PHD Candidate Kholoud Mandour

Details and patient eligibility

About

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.

Full description

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.

Enrollment: 45 estimated patients

Sex: All

Ages: 16 to 30 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. Adult cases age range from 16 to 30 years old
2. Skeletal Bimaxillary protrusion with SNA and SNB increased
3. Dental bimaxillary protrusion with U1- SN and IMP a increased angles
4. Class I canine and molar angle classification
5. Free from any systemic disease
6. 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

Trial design

Primary purpose: Health Services Research

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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45 participants in 2 patient groups

Ai prediction group

Experimental group

Description:

The participant group that will be exposed to prediction photos and measure their motivation for the four 1st premolars extraction decision, also undergoes the orthodontic treatment.

Treatment:

Procedure: Fixed orthodontic brackets with premolars extraction

Other: Ai prediction photo of the patients

Control group

Active Comparator group

Description:

Subjects in this group will receive orthodontic treatment and answer a questionnaire about their motivation and satisfaction with the treatment, but they will not be exposed to AI prediction photos.

Treatment:

Procedure: Fixed orthodontic brackets with premolars extraction