生物力学
物理医学与康复
计算机科学
人工智能
医学
矫形学
步态
物理疗法
假肢
工程类
膝关节
人工神经网络
步态分析
作者
Yumei Sun,Claudio Pizzolato,Trevor N. Savage,Laura E. Diamond,David J. Saxby
标识
DOI:10.1016/j.clinbiomech.2026.106863
摘要
= 0.17 to 0.92, and NRMSE varied between 0.21 (0.01) and 0.70 (0.05) relative to physics-based values. Overall, AI approaches have potential to predict specific knee biomechanics, but refinement and validation are needed to improve prediction accuracy across all knee biomechanical variables.
科研通智能强力驱动
Strongly Powered by AbleSci AI