开发一个峰值插入扭矩预测模型,用于平行壁牙科植入物
Ammar A Alsheghri1, Ali N Abdalla2, Basel Mokahhal3
1Department of Mechanical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Kingdom of Saudi Arabia; Interdisciplinary Research Center for Biosystems and Machines, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Kingdom of Saudi Arabia.
Medical engineering & physics
|April 3, 2025
概括
预测牙植入器插入扭矩是可能的,使用患者的X射线图,植入器的细节,和钻孔大小. 这有助于牙医优化钻孔参数,以便在植入物放置期间获得更好的初级稳定性.
科学领域:
- 生物材料工程 生物材料工程
- 牙科植入物学 牙科植入物学
- 生物机械工程 生物机械工程
背景情况:
- 植入物峰值插入扭矩是牙科植入物学中初级稳定的关键指标.
- 牙医使用插入扭矩来指导植入物放置过程中的临床决策.
研究的目的:
- 开发牙植入物插入扭矩的预测模型.
- 调查骨和植入物特性以及钻孔参数对插入扭矩的影响.
- 将数据驱动模型与基于物理的模型进行扭矩预测的比较.
主要方法:
- 收集了116个牙科植入物放置的临床数据,包括患者人口统计数据,X光片的骨质量,植入物特征和钻孔参数.
- 训练并测试了六种数据驱动的回归模型,包括具有早期停止的神经网络.
- 开发并比较基于物理的模型与数据驱动的模型.
主要成果:
- 神经网络模型在预测临床测量的扭矩方面表现出最高的准确性 (R2 = 0.7692,MSE = 0.08815).
- 使用患者放射图,植入物特性和钻孔直径来实现预测准确度.
- 该研究成功模拟了基于临床和程序变量的峰值插入扭矩.
结论:
- 使用随时可用的临床数据,可以预测牙科植入物的峰值插入扭矩.
- 这些发现为牙医选择最佳钻孔参数提供了宝贵的参考.
- 准确的扭矩预测可以提高初级稳定性,并为植入牙科的临床决策提供信息.
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