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

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

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.

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.

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