Reliability of Artificial Intelligence for Treatment Decision Recommendation for Adult Skeletal Open Bite Patients: A Diagnostic Accuracy Pilot Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 53
- 试验地点
- 1
- 主要终点
- accuracy of diagnostic test
研究概览
简要总结
This study evaluated a specially designed AI model developed by a programmer using x-ray readings and corresponding treatment decisions from 70% of the cases (either orthodontic treatment only or orthodontic treatment with surgery).
For the evaluation, we will use the remaining 30% of cases. "Subsequently, to assess its performance, the model was tested on the remaining 30% of cases. The programmer provided only the X-ray readings as input. The AI model was then tasked with classifying.
详细描述
In this study, all patients were treated completely with a well-finished result by expert orthodontists. This study evaluates whether an artificial intelligence (AI) model can enhance treatment decisions for adult skeletal open bite cases by predicting the optimal intervention, either orthognathic surgery or camouflage, using cephalometric readings as input data.
First, a total of 53 cases were analyzed, which were divided into two groups:
70% were allocated to the machine learning group (MLG), while the remaining 30% constituted the test group (TG). Cephalometric analysis for all patients was performed using Dolphin Imaging 11.5 Premium software, along with determining the appropriate treatment decision, either camouflage or orthognathic surgery.
The data obtained from MLG serves as training data for the AI model to classify cases based on their cephalometric data, whether for camouflage or orthognathic surgery. The input data consisted of cephalometric readings along with a decision.
Second, after machine learning, validation takes place to examine the ability of the machine to make decisions through some cases from MLG.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Moderate to severe Adult patients with anterior skeletal open bite (at least 3mm opening)
- •Completed their treatment successfully.
- •Well-documented cases with comprehensive preoperative and postoperative lateral cephalometric x-rays were considered.
排除标准
- •Patient below 18 years.
- •Improperly finished orthodontic treatment.
- •Incomplete documentation.
- •cleft lip and palate patient, patient with syndromes.
- •Dental open bite.
结局指标
主要结局
accuracy of diagnostic test
时间窗: through study completion, an average of 1 year".
In this study, the investigators have only one outcome, which is the accuracy of a diagnostic test. This test is based on the comparison of the results of machine learning decisions with a conventional method, which is an expert orthodontist's decision. Accuracy = (true positives + true negatives) / (total) A true positive will be the correct prediction of camouflage. A true negative will be the correct prediction of orthognathic surgery. Total means the total test set cases. All cases are randomly distributed. The investigators use the skeletal and dental cephalometrical parameters , some of which are angles measured by degrees, and others are linear measurements measured by millimeters. SNA SNB ANB SN/PP SN/MP Maxillary-mandibular plane angle Anterior facial height Posterior facial height Jarabak ratio Gonial angle Lower anterior facial height Open bite Maxillary anterior teeth inclination Mandibular anterior teeth inclination
次要结局
未报告次要终点
研究者
Marwa Saeed Abdullah Saeed Badyah
Master's student.
Cairo University