AIMC Topic: Patellofemoral Pain Syndrome

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Re-examining the association between region-specific pain recurrence and muscle force strategies in patients with patellofemoral pain via OpenSim and artificial intelligence: a prospective cohort study toward targeted rehabilitation.

Journal of neuroengineering and rehabilitation Oct 22, 2025
BACKGROUND: This study utilized artificial intelligence (AI)-based machine learning algorithms, alongside the shapley additive explanations (SHAP) framework, to identify lower-limb muscle force patterns associated with recurrent patellofemoral pain (...
Humans Artificial Intelligence Machine Learning Prospective Studies Female Young Adult Adult Biomechanical Phenomena Male Middle Aged Muscle, Skeletal Muscle Strength Patellofemoral Pain Syndrome Resistance Training Recurrence
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Task-specific differentiation of patellofemoral pain in women using a neural network analysis of joint angle subsets.

Gait & posture May 24, 2025
BACKGROUND: Individuals with patellofemoral pain (PFP) present mechanical disorders during functional tests and activities. Studies often evaluate this population to understand the relationship between mechanical factors and pain/malalignment. This s...
Humans Neural Networks, Computer Female Young Adult Adult Biomechanical Phenomena Case-Control Studies Adolescent Patellofemoral Pain Syndrome Range of Motion, Articular Task Performance and Analysis
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A data mining approach for determining biomechanical adaptations in runners who experienced and recovered from patellofemoral pain syndrome.

Journal of sports sciences Feb 1, 2024
Patellofemoral pain (PFP) is a common musculoskeletal pain disorder experienced by runners. While biomechanics of those with PFP have been extensively studied, methodological considerations may omit important adaptations exhibited by those experienci...
Humans Biomechanical Phenomena Knee Joint Gait Patellofemoral Pain Syndrome Running Pain
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Runners with patellofemoral pain demonstrate sub-groups of pelvic acceleration profiles using hierarchical cluster analysis: an exploratory cross-sectional study.

BMC musculoskeletal disorders Apr 19, 2018
BACKGROUND: Previous studies have suggested that distinct and homogenous sub-groups of gait patterns exist among runners with patellofemoral pain (PFP), based on gait analysis. However, acquisition of 3D kinematic data using optical systems is time c...
Humans Female Adult Cross-Sectional Studies Male Deep Learning Pelvic Bones Cluster Analysis Patellofemoral Pain Syndrome Running Pain
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