Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

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Showing 2794-2814 of 5,212 articles
Shoulder hydrodilatation for primary, post-traumatic and post-operative adhesive capsulitis.

BACKGROUND: Adhesive capsulitis (frozen shoulder) is characterised by pain and loss of range of moti...

Association of Serum Vitamin D Levels and Stress Fractures in Collegiate Athletes.

BACKGROUND: Low vitamin D levels along with high-intensity athletic training may put an athlete at i...

Artificial Intelligence-Assisted motion capture for medical applications: a comparative study between markerless and passive marker motion capture.

We aimed to determine whether artificial intelligence (AI)-assisted markerless motion capture softwa...

Hip Fracture Surgery without Transfusion in Patients with Hemoglobin Less Than 10 g/dL.

BACKGROUD: Hip fracture surgery is associated with blood loss, which may lead to adverse patient out...

Modular deep reinforcement learning from reward and punishment for robot navigation.

Modular Reinforcement Learning decomposes a monolithic task into several tasks with sub-goals and le...

Effect of the Hybrid Assistive Limb on the Gait Pattern for Cerebral Palsy.

Cerebral palsy (CP) is the most frequent childhood motor disability. Achieving ambulation or standi...

The use of tranexamic acid in open elbow release surgery.

BACKGROUND: Tranexamic acid (TXA) has been effective in reducing perioperative blood loss in hip, kn...

Artificial fly visual joint perception neural network inspired by multiple-regional collision detection.

The biological visual system includes multiple types of motion sensitive neurons which preferentiall...

ERP markers of action planning and outcome monitoring in human - robot interaction.

The present study aimed to examine event-related potentials (ERPs) of action planning and outcome mo...

PWD-3DNet: A Deep Learning-Based Fully-Automated Segmentation of Multiple Structures on Temporal Bone CT Scans.

The temporal bone is a part of the lateral skull surface that contains organs responsible for hearin...

Joint Person Objectness and Repulsion for Person Search.

Person search targets to search the probe person from the unconstrainted scene images, which can be ...

Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing.

Biomedical research often involves conducting experiments on model organisms in the anticipation tha...

Dehaze of Cataractous Retinal Images Using an Unpaired Generative Adversarial Network.

Cataracts are the leading cause of visual impairment worldwide. Examination of the retina through ca...

An Exoneuromusculoskeleton for Self-Help Upper Limb Rehabilitation After Stroke.

This article presents a novel electromyography (EMG)-driven exoneuromusculoskeleton that integrates ...

Predicting Post-Concussion Symptom Recovery in Adolescents Using a Novel Artificial Intelligence.

This pilot study explores the possibility of predicting post-concussion symptom recovery at one week...

Estimating visual field loss from monoscopic optic disc photography using deep learning model.

Visual field assessment is recognized as the important criterion of glaucomatous damage judgement; h...

Evaluation of the Artificial Neural Network and Naive Bayes Models Trained with Vertebra Ratios for Growth and Development Determination.

OBJECTIVE: This study aimed to evaluate the success rates of the artificial neural network models (N...

Comparing Precision Machine Learning With Consumer, Quality, and Volume Metrics for Ranking Orthopedic Surgery Hospitals: Retrospective Study.

BACKGROUND: Patients' choices of providers when undergoing elective surgeries significantly impact b...

Automated measurement of hip-knee-ankle angle on the unilateral lower limb X-rays using deep learning.

Significant inherent extra-articular varus angulation is associated with abnormal postoperative hip-...

Approximating the Ideal Observer for Joint Signal Detection and Localization Tasks by use of Supervised Learning Methods.

Medical imaging systems are commonly assessed and optimized by use of objective measures of image qu...

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.

Segmenting anatomical structures in medical images has been successfully addressed with deep learnin...

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