[HTML][HTML] Artificial intelligence and machine learning approaches in cerebral palsy diagnosis, prognosis, and management: a comprehensive review

SD Balgude, S Gite, B Pradhan, CW Lee - PeerJ Computer Science, 2024 - peerj.com
Cerebral palsy (CP) is a group of disorders that alters patients' muscle coordination, posture,
and movement, resulting in a wide range of deformities. Cerebral palsy can be caused by …

Automated identification of hip arthroplasty implants using artificial intelligence

Z Gong, Y Fu, M He, X Fu - Scientific Reports, 2022 - nature.com
The purpose of this study was to develop and evaluate the performance of deep learning
methods based on convolutional neural networks (CNN) to detect and identify specific hip …

An automated framework for pediatric hip surveillance and severity assessment using radiographs

VK Lam, E Fischer, K Jawad, S Tabaie, K Cleary… - International Journal of …, 2024 - Springer
Purpose Hip dysplasia is the second most common orthopedic condition in children with
cerebral palsy (CP) and may result in disability and pain. The migration percentage (MP) is a …

Automation of clinical measurements on radiographs of children's hips

P Thompson, Medical Annotation Collaborative… - … Conference on Medical …, 2022 - Springer
Developmental dysplasia of the hip (DDH) and cerebral palsy (CP) related hip migration are
two of the most common orthopaedic diseases in children, each affecting around 1–2 in …

A fully automated measurement of migration percentage on ultrasound images in children with cerebral palsy

R Yousefvand, TT Pham, LH Le, J Andersen… - Medical & Biological …, 2024 - Springer
Migration percentage (MP) is the gold standard to assess the severity of hip displacement in
children with cerebral palsy, which is measured on anteroposterior hip radiographs …

Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis

MH Kabir, M Reformat, SS Hryniuk, K Stampe… - Medical & Biological …, 2024 - Springer
The magnetically controlled growing rod technique is an effective surgical treatment for
children who have early-onset scoliosis. The length of the instrumented growing rods is …

SSDL—an automated semi-supervised deep learning approach for patient-specific 3D reconstruction of proximal femur from QCT images

J Sultana, M Naznin, TR Faisal - Medical & Biological Engineering & …, 2024 - Springer
Deep Learning (DL) techniques have recently been used in medical image segmentation
and the reconstruction of 3D anatomies of a human body. In this work, we propose a semi …

Automating radiological measurements of the hip in children with cerebral palsy

P Thompson, M Khattak, PJ Joseph… - The bone & joint …, 2025 - boneandjoint.org.uk
Aims The aims of this study were to develop an automatic system capable of calculating four
radiological measurements used in the diagnosis and monitoring of cerebral palsy (CP) …

Ultrasound Imaging of Hip Displacement in Children With Cerebral Palsy

TT Pham, LH Le, TG La, J Andersen, EH Lou - Ultrasound in Medicine & …, 2023 - Elsevier
Objective An approach to estimation of hip displacement on ultrasound (US) images is
described. Its accuracy is validated through numerical simulation, an in vitro study with 3-D …

Automated Rod Length Measurements on Radiographs and Sonograms in Children with Early Onset Scoliosis

MH Kabir - 2024 - era.library.ualberta.ca
Abstract Early Onset Scoliosis (EOS) is a medical condition that is defined as a lateral
curvature of the spine with vertebral rotation in children under age 10. Approximately 2-3 …