AIMC Topic: Osteoarthritis, Hip

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Feasibility of human ethomic biomarkers for the diagnosis and monitoring of hip osteoarthritis.

Journal of biomechanics Apr 23, 2025
Radiographic imaging is typically used to diagnose osteoarthritis (OA). However, patients would typically be sent for imaging after they present to a physician because of joint pain. By this time, the condition is likely irreversible. This study aims...
Biomarkers Female Aged Adult Humans Walking Feasibility Studies Hip Joint Osteoarthritis, Hip Biomechanical Phenomena Male Middle Aged
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Preoperatively predicting failure to achieve the minimum clinically important difference and the substantial clinical benefit in patient-reported outcome measures for total hip arthroplasty patients using machine learning.

BMC musculoskeletal disorders Feb 14, 2025
BACKGROUND: Attention to the collection of patient-reported outcomes measures (PROMs) associated with total hip arthroplasty (THA) is growing. The aim of this study was to preoperatively predict failure to achieve the minimal clinically important dif...
Osteoarthritis, Hip Minimal Clinically Important Difference Aged Male Middle Aged Predictive Value of Tests Patient Reported Outcome Measures Treatment Failure Arthroplasty, Replacement, Hip Humans Machine Learning Retrospective Studies Female
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Development and accuracy of an artificial intelligence model for predicting the progression of hip osteoarthritis using plain radiographs and clinical data: a retrospective study.

BMC musculoskeletal disorders Nov 8, 2024
BACKGROUND: Predicting the progression of hip osteoarthritis (OA) remains challenging, and no reliable predictive method has been established. This study aimed to develop an artificial intelligence (AI) model to predict hip OA progression via plain r...
Humans Artificial Intelligence Retrospective Studies Middle Aged Disease Progression Predictive Value of Tests Radiography Female Aged Male Hip Joint Arthroplasty, Replacement, Hip Osteoarthritis, Hip
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Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs.

International journal of computer assisted radiology and surgery Mar 12, 2024
PURPOSE: Progression of hip osteoarthritis (hip OA) leads to pain and disability, likely leading to surgical treatment such as hip arthroplasty at the terminal stage. The severity of hip OA is often classified using the Crowe and Kellgren-Lawrence (K...
Uncertainty Severity of Illness Index Deep Learning Osteoarthritis, Hip Humans Tomography, X-Ray Computed Female Aged Male Middle Aged Disease Progression
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Hip contact forces can be predicted with a neural network using only synthesised key points and electromyography in people with hip osteoarthritis.

Osteoarthritis and cartilage Mar 3, 2024
OBJECTIVE: To develop and validate a neural network to estimate hip contact forces (HCF), and lower body kinematics and kinetics during walking in individuals with hip osteoarthritis (OA) using synthesised anatomical key points and electromyography. ...
Weight-Bearing Gait Hip Joint Osteoarthritis, Hip Aged Biomechanical Phenomena Male Middle Aged Muscle, Skeletal Electromyography Walking Humans Neural Networks, Computer Female
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Classification of inertial sensor-based gait patterns of orthopaedic conditions using machine learning: A pilot study.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 11, 2024
Elderly patients often have more than one disease that affects walking behavior. An objective tool to identify which disease is the main cause of functional limitations may aid clinical decision making. Therefore, we investigated whether gait pattern...
Humans Machine Learning Female Aged Aged, 80 and over Male Middle Aged Gait Gait Analysis Osteoarthritis, Knee Osteoarthritis, Hip Case-Control Studies Pilot Projects Support Vector Machine
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Weight-shifting-based robot control system improves the weight-bearing rate and balance ability of the static standing position in hip osteoarthritis patients: a randomized controlled trial focusing on outcomes after total hip arthroplasty.

PeerJ May 17, 2023
BACKGROUND: After a total hip arthroplasty (THA), standing and walking balance are greatly affected in the early stages of recovery, so it is important to increase the weight-bearing amount (WBA) on the operated side. Sometimes, traditional treatment...
Standing Position Arthroplasty, Replacement, Hip Osteoarthritis, Hip Weight-Bearing Humans Robotics Activities of Daily Living
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Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Sep 2, 2021
UNLABELLED: We developed and compared deep learning models to detect hip osteoarthritis on clinical CT. The CT-based summation images, CT-AP, that resemble X-ray radiographs can detect radiographic hip osteoarthritis and in the absence of large train...
Deep Learning Humans ROC Curve Retrospective Studies Radiography Tomography, X-Ray Computed Osteoarthritis, Hip
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Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints.

Acta orthopaedica Feb 12, 2021
Background and purpose - Machine learning (ML) techniques are a form of artificial intelligence able to analyze big data. Analyzing the outcome of (digital) questionnaires, ML might recognize different patterns in answers that might relate to differe...
Tendinopathy Machine Learning Medical History Taking Female Osteoarthritis, Hip Aged Bursitis Male Humans Diagnosis, Differential Middle Aged Predictive Value of Tests Surveys and Questionnaires Emergency Medical Services ROC Curve
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Detection of hip osteoarthritis by using plain pelvic radiographs with deep learning methods.

Skeletal radiology Apr 4, 2020
OBJECTIVE: The incidence of osteoarthritis is gradually increasing in public due to aging and increase in obesity. Various imaging methods are used in the diagnosis of hip osteoarthritis, and plain pelvic radiography is the first preferred imaging me...
Deep Learning Humans Radiography Neural Networks, Computer Osteoarthritis, Hip Retrospective Studies
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