Orthopedics

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

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A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data.

BACKGROUND: Investigations into novel biomarkers using omics techniques generate large amounts of da...

Multilayer Joint Gait-Pose Manifolds for Human Gait Motion Modeling.

We present new multilayer joint gait-pose manifolds (multilayer JGPMs) for complex human gait motion...

Fully probabilistic control for stochastic nonlinear control systems with input dependent noise.

Robust controllers for nonlinear stochastic systems with functional uncertainties can be consistentl...

Human experts' and a fuzzy model's predictions of outcomes of scoliosis treatment: a comparative analysis.

Brace treatment is the most commonly used nonsurgical treatment for adolescents with idiopathic scol...

The influence of the medial meniscus in different conditions on anterior tibial translation in the anterior cruciate deficient knee.

PURPOSE: The purpose of this study was the evaluation of knee laxity in the ACL-deficient knee with ...

Classification of sodium MRI data of cartilage using machine learning.

PURPOSE: To assess the possible utility of machine learning for classifying subjects with and subjec...

Diagnostic performance of bone scintigraphy analyzed by three artificial neural network systems.

OBJECTIVE: The accuracy of bone scintigraphy analyzed by computer-assisted diagnosis (CAD) software ...

Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke.

A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradi...

Time-Varying Ankle Mechanical Impedance During Human Locomotion.

In human locomotion, we continuously modulate joint mechanical impedance of the lower limb (hip, kne...

Learning to track multiple targets.

Monocular multiple-object tracking is a fundamental yet under-addressed computer vision problem. In ...

Artificial neural networks in neurosurgery.

Artificial neural networks (ANNs) effectively analyze non-linear data sets. The aimed was A review o...

Machine learning-based augmented reality for improved surgical scene understanding.

In orthopedic and trauma surgery, AR technology can support surgeons in the challenging task of unde...

Joint sparse coding based spatial pyramid matching for classification of color medical image.

Although color medical images are important in clinical practice, they are usually converted to gray...

Combining C-arm CT with a new remote operated positioning and guidance system for guidance of minimally invasive spine interventions.

OBJECTIVE: To report our experience using C-arm cone beam CT (C-arm CBCT) combined with the new remo...

AI-driven optimization of spinal implant design using parametric modelling.

This study aimed to enhance vertebral implant design by using a parametric spine model and advanced ...

Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI.

Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...

Universal 3D-Printing of Suspended Metal Oxide Nanowire Arrays on MEMS for AI-Optimized Combinatorial Gas Fingerprinting.

Additive manufacturing technology has the potential to provide great versatility in the design and f...

Screening of hub genes and immunocytes related to tendon injury based on bioinformatics and machine learning models.

Tendon injury is a common and challenging clinical problem, and its healing process involves complex...

Comparison of the number of peripapillary perforating scleral vessels between glaucomatous eyes and healthy eyes.

This study aimed to compare the number of peripapillary perforating scleral vessels (PPSVs) between ...

Lightweight early detection of knee osteoarthritis in athletes.

Osteoarthritis (OA) is a prevalent condition among athletes, characterized by the progressive degrad...

Artificial Intelligence in Planning for Spine Surgery.

PURPOSE OF REVIEW: There has been an expanding role of artificial intelligence (AI) and machine lear...

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