Using Convolutional Neural Network to Design and Predict the Forces and Kinematic Performance and External Rotation Moment of the Hip Joint in the Pelvis

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Randomized trial demonstrates improved kinematic performance in the hip joint, suggesting AI may enhance mobility outcomes.

The convolutional neural network effectively predicts kinematic performance and external rotation moment of the hip joint.
Significant improvements were observed in dynamic adaptability with high-speed control and accurate torque predictions.
Analysis using MATLAB software focused on data modeling to enhance movement dynamics with specific input parameters from healthy subjects' step patterns . This method indicates a promising approach for hip joint performance refinement.

Mokri et al. (2024) studied this question.

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