Impact Of Artificial Intelligence-Based Prediction of Facial Changes in Bimaxillary Protrusion Cases on Patient Motivation and Satisfaction
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 45
- 试验地点
- 1
- 主要终点
- Participants motivation for treatment
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 16 Years 至 30 Years（Child, Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •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
研究组 & 干预措施
Ai prediction group
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.
干预措施: Ai prediction photo of the patients (Other)
Ai prediction group
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.
干预措施: Fixed orthodontic brackets with premolars extraction (Procedure)
Control group
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.
干预措施: Fixed orthodontic brackets with premolars extraction (Procedure)
结局指标
主要结局
Participants motivation for treatment
时间窗: 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.
次要结局
未报告次要终点
研究者
Kholoud Mandour
PHD candidate
Mansoura University