AIMC Topic: Cerebral Palsy
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Fully automated measurement of paediatric cerebral palsy pelvic radiographs with BoneFinder : external validation using a national surveillance database.
The bone & joint journal
Jul 1, 2025
AIMS: BoneFinder is a machine-learning tool that can automatically calculate Reimers migration percentage (RMP) and head-shaft angle (HSA) from paediatric cerebral palsy (CP) pelvic radiographs. This study's primary aim was to compare BoneFinder's fu...
Hip surveillance in children with cerebral palsy in the UK : history, challenges, and future directions.
The bone & joint journal
Jul 1, 2025
Cerebral palsy (CP) is associated with musculoskeletal complications in children, notably hip migration, which can progress to hip dislocation and joint degeneration. Without regular radiological monitoring, early-stage hip migration can be missed, p...
Automated extraction of functional biomarkers of verbal and ambulatory ability from multi-institutional clinical notes using large language models.
Journal of neurodevelopmental disorders
Apr 30, 2025
BACKGROUND: Functional biomarkers in neurodevelopmental disorders, such as verbal and ambulatory abilities, are essential for clinical care and research activities. Treatment planning, intervention monitoring, and identifying comorbid conditions in i...
Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI.
Scientific reports
Apr 10, 2025
This study aims to compare brain activity differences under the motor imagery-brain-computer interface (MI-BCI), motor imagery (MI), and resting (REST) paradigms through EEG microstate and functional connectivity (FC) analysis, providing a theoretica...
Can we use lower extremity joint moments predicted by the artificial intelligence model during walking in patients with cerebral palsy in the clinical gait analysis?
PloS one
Apr 1, 2025
Several studies have highlighted the advantages of employing artificial intelligence (AI) models in gait analysis. However, the credibility and practicality of integrating these models into clinical gait routines remain uncertain. This study critical...
Deep learning-based classification of hemiplegia and diplegia in cerebral palsy using postural control analysis.
Scientific reports
Mar 14, 2025
Cerebral palsy (CP) is a neurological condition that affects mobility and motor control, presenting significant challenges for accurate diagnosis, particularly in cases of hemiplegia and diplegia. This study proposes a method of classification utiliz...
Explaining Human Activity Recognition with SHAP: Validating insights with perturbation and quantitative measures.
Computers in biology and medicine
Feb 22, 2025
In Human Activity Recognition (HAR), understanding the intricacy of body movements within high-risk applications is essential. This study uses SHapley Additive exPlanations (SHAP) to explain the decision-making process of Graph Convolution Networks (...
Can muscle synergies shed light on the mechanisms underlying motor gains in response to robot-assisted gait training in children with cerebral palsy?
Journal of neuroengineering and rehabilitation
Feb 7, 2025
BACKGROUND: Children with cerebral palsy (CP) often experience gait impairments. Robot-assisted gait training (RGT) has been shown to have beneficial effects in this patient population. However, clinical outcomes of RGT vary substantially from patien...
Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy.
Scientific reports
Jan 8, 2025
Gait analysis is crucial for identifying functional deviations from the normal gait cycle and is essential for the individualized treatment of motor disorders such as cerebral palsy (CP). The primary contribution of this study is the introduction of ...
Development of a Virtual Robot Rehabilitation Training System for Children with Cerebral Palsy: An Observational Study.
Sensors (Basel, Switzerland)
Dec 20, 2024
This paper presents the development of a robotic system for the rehabilitation and quality of life improvement of children with cerebral palsy (CP). The system consists of four modules and is based on a virtual humanoid robot that is meant to motivat...
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