Nature

Development of machine learning models for gait-based classification of incomplete spinal cord injuries and cauda equina syndrome

Incomplete tetraplegia, incomplete paraplegia, and cauda equina syndrome are major neurological disorders that significantly reduce patients’ quality of life, primarily due to impaired motor function ...
Nature

A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors

Three-dimensional gait analysis (3DGA) provides quantitative information on the locomotion system and lower-limb functionality level during gait. 3DGA is an effective way to monitor changes in gait ...
BMJ

Gait, physical activity and tibiofemoral cartilage damage: a longitudinal machine learning analysis in the Multicenter Osteoarthritis Study

Objective To (1) develop and evaluate a machine learning model incorporating gait and physical activity to predict medial tibiofemoral cartilage worsening over 2 years in individuals without advanced ...