基于人工智能的麦克纳马拉分析不同类型的裂和非裂个体
Mohammad Khursheed Alam1,2,3, Ahmed Ali Alfawzan4
1Professor, Orthodontics, Preventive Dentistry Department, College of Dentistry, Jouf University, Saudi Arabia.
Maedica
|January 15, 2026
概括
以人工智能为基础的麦克纳马拉头脑测量分析揭示了裂唇 (CLP) 患者的显著骨差异. 性别对这些测量没有影响,但在各种裂类型之间存在差异,为治疗规划提供了信息.
科学领域:
- 面研究的研究.
- 矯正牙科 矯正牙科是一種矯正牙科.
- 人工智能在医学中的应用
背景情况:
- 骨上的差异在唇裂 (CLP) 患者中很常见.
- 麦克纳马拉头脑测量分析是一种评估面结构的工具.
- 了解性别和裂类型变异对于有效治疗至关重要.
研究的目的:
- 通过基于人工智能的麦克纳马拉分析在患有和没有CLP的个体中评估骨差异.
- 检查麦克纳马拉参数中的性别差异.
- 为了在不同裂口类型中比较麦克纳马拉参数.
主要方法:
- 利用基于人工智能的麦克纳马拉头脑测量分析对123个人的数据集.
- 提取的测量包括大长度 (Co-A),下长度 (Co-Gn) 和大和下的差异 (MMD).
- 进行了统计分析,包括t测试,ANOVA和Tukey HSD后期测试.
主要成果:
- 在麦克纳马拉参数中没有发现显著的性别差异.
- 在非裂纹和CLP组之间观察到所有参数的显著差异 (p < 0.001).
- 根据ANOVA,Co-A (p = 0.002),Co-Gn (p = 0.003) 和MMD (p < 0.001) 的裂类型之间存在显著差异.
结论:
- 性别没有显著影响麦克纳马拉头脑测量参数.
- 在非裂个体和患有CLP的人之间存在显著的骨差异.
- 裂特异性分析对于准确的正牙和面治疗计划至关重要.
相关概念视频
01:23McNemar's Test
803
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
803
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
245
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
245