AIMC Topic: Knee Joint

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Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative).

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 19, 2022
INTRODUCTION: Objective assessment of osteoarthritis (OA) Magnetic Resonance Imaging (MRI) scans can address the limitations of the current OA assessment approaches. Detecting and extracting bone, cartilage, and joint fluid is a necessary component f...
Humans Knee Joint Osteoarthritis Femur Artificial Intelligence Adult Magnetic Resonance Imaging
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Assessment of a novel deep learning-based marker-less motion capture system for gait study.

Gait & posture Mar 15, 2022
BACKGROUND: Marker-less systems based on digital video cameras and deep learning for gait analysis could have a deep impact in clinical routine. A recently developed system has shown promising results in terms of joint center position but has not bee...
Knee Joint Walking Reproducibility of Results Gait Biomechanical Phenomena Gait Analysis Deep Learning Humans Biomarkers
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Automatic detection and classification of knee osteoarthritis using deep learning approach.

La Radiologia medica Mar 9, 2022
PURPOSE: We developed a tool for locating and grading knee osteoarthritis (OA) from digital X-ray images and illustrate the possibility of deep learning techniques to predict knee OA as per the Kellgren-Lawrence (KL) grading system. The purpose of th...
Knee Joint Pain Osteoarthritis, Knee Middle Aged Humans Deep Learning Artificial Intelligence
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Determining the anatomical site in knee radiographs using deep learning.

Scientific reports Mar 7, 2022
An important quality criterion for radiographs is the correct anatomical side marking. A deep neural network is evaluated to predict the correct anatomical side in radiographs of the knee acquired in anterior-posterior direction. In this retrospectiv...
Deep Learning Radiography Knee Joint Humans Neural Networks, Computer Retrospective Studies
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Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future.

International orthopaedics Feb 16, 2022
BACKGROUND: Artificial Intelligence (AI)/Machine Learning (ML) applications have been proven efficient to improve diagnosis, to stratify risk, and to predict outcomes in many respective medical specialties, including in orthopaedics.
Machine Learning Forecasting Lower Extremity Knee Joint Humans Artificial Intelligence
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Robotic-Assisted Versus Manual Unicompartmental Knee Arthroplasty: A Time-Driven Activity-Based Cost Analysis.

The Journal of arthroplasty Feb 13, 2022
BACKGROUND: The cost-effectiveness of robotic-assisted unicompartmental knee arthroplasty (RA-UKA) remains unclear. Time-driven activity-based costing (TDABC) has been shown to accurately reflect true resource utilization. This study aimed to compare...
Osteoarthritis, Knee Cost-Benefit Analysis Arthroplasty, Replacement, Knee Humans Treatment Outcome Robotics Robotic Surgical Procedures Knee Joint
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Subtalar axis determined by combining digital twins and artificial intelligence: influence of the orientation of this axis for hindfoot compensation of varus and valgus knees.

International orthopaedics Feb 9, 2022
PURPOSE: Previous studies evaluating hindfoot and knee alignment have suggested compensation between the knee and the hindfoot deformities. However, these studies did not investigate the influence of the orientation of the subtalar axis on the result...
Weight-Bearing Subtalar Joint Knee Joint Foot Humans Artificial Intelligence
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Application of CT Medical Imaging Combined with Deep Learning 3D Reconstruction in the Diagnosis and Rehabilitation of Anterior Cruciate Ligament Injury in Table Tennis Players.

Journal of healthcare engineering Dec 17, 2021
Because of the intense competition, table tennis requires players to bear a strong physiological load, which increases the risk of sports injury. Anterior cruciate ligament (ACL) is an important structure of the knee joint to maintain forward stabili...
Anterior Cruciate Ligament Injuries Deep Learning Tennis Athletic Injuries Imaging, Three-Dimensional Humans Knee Joint Tomography, X-Ray Computed
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Abnormal synergistic gait mitigation in acute stroke using an innovative ankle-knee-hip interlimb humanoid robot: a preliminary randomized controlled trial.

Scientific reports Nov 24, 2021
Abnormal spasticity and associated synergistic patterns are the most common neuromuscular impairments affecting ankle-knee-hip interlimb coordinated gait kinematics and kinetics in patients with hemiparetic stroke. Although patients with hemiparetic ...
Humans Biomechanical Phenomena Male Middle Aged Female Gait Disorders, Neurologic Aged Aged, 80 and over Exoskeleton Device Hip Joint Physical Therapy Modalities Ankle Joint Stroke Rehabilitation Single-Blind Method Equipment Design Knee Joint Recovery of Function Stroke Robotics Gait Functional Status Range of Motion, Articular Time Factors Treatment Outcome
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Machine Learning-Based Estimation of Ground Reaction Forces and Knee Joint Kinetics from Inertial Sensors While Performing a Vertical Drop Jump.

Sensors (Basel, Switzerland) Nov 19, 2021
Nowadays, the use of wearable inertial-based systems together with machine learning methods opens new pathways to assess athletes' performance. In this paper, we developed a neural network-based approach for the estimation of the Ground Reaction Forc...
Knee Joint Kinetics Machine Learning Biomechanical Phenomena Humans Neural Networks, Computer
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