AIMC Topic: Knee

Clear Filters Showing 11 to 20 of 85 articles

Explainable Deep-Learning-Based Gait Analysis of Hip-Knee Cyclogram for the Prediction of Adolescent Idiopathic Scoliosis Progression.

Sensors (Basel, Switzerland) Jul 12, 2024
Accurate prediction of scoliotic curve progression is crucial for guiding treatment decisions in adolescent idiopathic scoliosis (AIS). Traditional methods of assessing the likelihood of AIS progression are limited by variability and rely on static m...
Disease Progression Deep Learning Adolescent Wearable Electronic Devices Algorithms Female Male Scoliosis Gait Analysis Knee Child Support Vector Machine Gait Humans Neural Networks, Computer
View on PubMed DOI

Fair AI-powered orthopedic image segmentation: addressing bias and promoting equitable healthcare.

Scientific reports Jul 12, 2024
AI-powered segmentation of hip and knee bony anatomy has revolutionized orthopedics, transforming pre-operative planning and post-operative assessment. Despite the remarkable advancements in AI algorithms for medical imaging, the potential for biases...
Humans Middle Aged Orthopedics Image Processing, Computer-Assisted Magnetic Resonance Imaging Hip Joint Knee Female Artificial Intelligence Bias Adult Aged Male Knee Joint Algorithms Tomography, X-Ray Computed
View on PubMed DOI

Accelerated High-Resolution Deep Learning Reconstruction Turbo Spin Echo MRI of the Knee at 7 T.

Investigative radiology Jul 4, 2024
OBJECTIVES: The aim of this study was to compare the image quality of 7 T turbo spin echo (TSE) knee images acquired with varying factors of parallel-imaging acceleration reconstructed with deep learning (DL)-based and conventional algorithms.
Prospective Studies Female Adult Male Humans Algorithms Knee Joint Healthy Volunteers Image Interpretation, Computer-Assisted Knee Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

Knee Angle Estimation from Surface EMG during Walking Using Attention-Based Deep Recurrent Neural Networks: Feasibility and Initial Demonstration in Cerebral Palsy.

Sensors (Basel, Switzerland) Jun 28, 2024
Accurately estimating knee joint angle during walking from surface electromyography (sEMG) signals can enable more natural control of wearable robotics like exoskeletons. However, challenges exist due to variability across individuals and sessions. T...
Cerebral Palsy Knee Walking Male Feasibility Studies Adolescent Range of Motion, Articular Wearable Electronic Devices Electromyography Knee Joint Child Muscle, Skeletal Humans Neural Networks, Computer Female Biomechanical Phenomena
View on PubMed DOI

Radial Undersampled MRI Reconstruction Using Deep Learning With Mutual Constraints Between Real and Imaginary Components of K-Space.

IEEE journal of biomedical and health informatics Jun 6, 2024
The deep learning method is an efficient solution for improving the quality of undersampled magnetic resonance (MR) image reconstruction while reducing lengthy data acquisition. Most deep learning methods neglect the mutual constraints between the re...
Brain Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Knee Humans Algorithms
View on PubMed DOI

MRI reconstruction with enhanced self-similarity using graph convolutional network.

BMC medical imaging May 17, 2024
BACKGROUND: Recent Convolutional Neural Networks (CNNs) perform low-error reconstruction in fast Magnetic Resonance Imaging (MRI). Most of them convolve the image with kernels and successfully explore the local information. Nonetheless, the non-local...
Humans Brain Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Magnetic Resonance Imaging Artifacts Knee
View on PubMed DOI

MLMFNet: A multi-level modality fusion network for multi-modal accelerated MRI reconstruction.

Magnetic resonance imaging Apr 24, 2024
Magnetic resonance imaging produces detailed anatomical and physiological images of the human body that can be used in the clinical diagnosis and treatment of diseases. However, MRI suffers its comparatively longer acquisition time than other imaging...
Brain Multimodal Imaging Deep Learning Humans Image Processing, Computer-Assisted Knee Magnetic Resonance Imaging Neural Networks, Computer Algorithms
View on PubMed DOI

Joint reconstruction and segmentation in undersampled 3D knee MRI combining shape knowledge and deep learning.

Physics in medicine and biology Apr 24, 2024
Task-adapted image reconstruction methods using end-to-end trainable neural networks (NNs) have been proposed to optimize reconstruction for subsequent processing tasks, such as segmentation. However, their training typically requires considerable ha...
Knee Joint Knee Humans Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging
View on PubMed DOI

Exploring Human-Exoskeleton Interaction Dynamics: An In-Depth Analysis of Knee Flexion-Extension Performance across Varied Robot Assistance-Resistance Configurations.

Sensors (Basel, Switzerland) Apr 21, 2024
Knee rehabilitation therapy after trauma or neuromotor diseases is fundamental to restore the joint functions as best as possible, exoskeleton robots being an important resource in this context, since they optimize therapy by applying tailored forces...
Electromyography Male Humans Exoskeleton Device Range of Motion, Articular Muscle, Skeletal Knee Joint Adult Knee Movement Robotics Biomechanical Phenomena Torque
View on PubMed DOI

Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study.

International journal of medical informatics Apr 4, 2024
OBJECTIVES: This study addresses the critical need for accurate summarization in radiology by comparing various Large Language Model (LLM)-based approaches for automatic summary generation. With the increasing volume of patient information, accuratel...
Feasibility Studies Radiology Information Systems Knee Neural Networks, Computer Magnetic Resonance Imaging Humans Retrospective Studies Natural Language Processing
View on PubMed DOI
Popular Topics
Recent Journals