Orthopedics

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

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Showing 2773-2793 of 5,212 articles
A progressive scholarly acceptance analysis of robot-assisted arthroplasty: a review of the literature and prediction of future research trends.

Robot-assisted arthroplasty (RAA) is increasingly practised in orthopaedic surgery. The aim of this ...

Kashin-Beck disease diagnosis based on deep learning from hand X-ray images.

BACKGROUND AND OBJECTIVE: Kashin-Beck Disease (KBD) is a serious endemic bone disease leading to sho...

Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects.

OBJECTIVE: To assess the potential of near-infrared spectroscopy (NIRS) for in vivo arthroscopic mon...

Does Robot Navigation and Intraoperative Computed Tomography Guidance Help with Percutaneous Endoscopic Lumbar Discectomy? A Match-Paired Study.

OBJECTIVE: To evaluate the efficacy and safety of robot-assisted percutaneous endoscopic lumbar disc...

Construction and analysis of a joint diagnosis model of random forest and artificial neural network for heart failure.

Heart failure is a global health problem that affects approximately 26 million people worldwide. As ...

Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip Arthroscopy.

PURPOSE: To develop machine learning algorithms to predict failure to achieve clinically significant...

Intraosseous Regional Administration of Antibiotic Prophylaxis in Total Knee Arthroplasty.

BACKGROUND: Periprosthetic joint infection (PJI) is a devastating complication following total knee ...

Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning.

This paper introduces a novel framework for generative models based on Restricted Kernel Machines (R...

Artificial neural networks for simultaneously predicting the risk of multiple co-occurring symptoms among patients with cancer.

Patients with cancer often exhibit multiple co-occurring symptoms which can impact the type of treat...

Multidimensional Ground Reaction Forces and Moments From Wearable Sensor Accelerations via Deep Learning.

OBJECTIVE: Monitoring athlete internal workload exposure, including prevention of catastrophic non-c...

Exploration of swimming performance for a biomimetic multi-joint robotic fish with a compliant passive joint.

In this paper, a novel compliant joint with two identical torsion springs is proposed for a biomimet...

Image registration: Maximum likelihood, minimum entropy and deep learning.

In this work, we propose a theoretical framework based on maximum profile likelihood for pairwise an...

Automated age estimation of young individuals based on 3D knee MRI using deep learning.

Age estimation is a crucial element of forensic medicine to assess the chronological age of living i...

Improving rib fracture detection accuracy and reading efficiency with deep learning-based detection software: a clinical evaluation.

OBJECTIVES: To investigate the impact of deep learning (DL) on radiologists' detection accuracy and ...

Development of a quantitative systems pharmacology model of chronic kidney disease: metabolic bone disorder.

Chronic kidney disease mineral bone disorder (CKD-MBD) is a virtually universal complication of kidn...

Continuous Similarity Learning with Shared Neural Semantic Representation for Joint Event Detection and Evolution.

In the era of the rapid development of today's Internet, people often feel overwhelmed by vast offic...

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