Orthopedics

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

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Showing 2710-2730 of 5,212 articles
Deep Learning-Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model.

The diabetic retinopathy accounts in the deterioration of retinal blood vessels leading to a serious...

Robotics Versus Navigation Versus Conventional Total Hip Arthroplasty: Does the Use of Technology Yield Superior Outcomes?

BACKGROUND: The use of technology such as navigation and robotic systems may improve the accuracy of...

[The superiority of navigation and robotics in hip arthroplasty: fact or myth?].

Computer-assisted surgery represents a relatively novel treatment option in total hip arthroplasty, ...

A robot-aided visuomotor wrist training induces gains in proprioceptive and movement accuracy in the contralateral wrist.

Proprioceptive training is a neurorehabilitation approach known to improve proprioceptive acuity and...

XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis.

BACKGROUND AND OBJECTIVES: Computer-aided diagnosis relies on machine learning algorithms that requi...

Application of artificial intelligence in diagnosis of osteoporosis using medical images: a systematic review and meta-analysis.

Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis. T...

Harnessing the Multistability of Kresling Origami for Reconfigurable Articulation in Soft Robotic Arms.

This study examines a biology-inspired approach of using reconfigurable articulation to reduce the c...

Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures.

Background and purpose - A correct diagnosis is essential for the appropriate treatment of patients ...

Gaussian smoothing and modified histogram normalization methods to improve neural-biomarker interpretations for dyslexia classification mechanism.

Achieving biologically interpretable neural-biomarkers and features from neuroimaging datasets is a ...

A Review on the Current Applications of Artificial Intelligence in the Operating Room.

. Artificial intelligence (AI) is an era upcoming in medicine and, more recently, in the operating r...

Value of 3D preoperative planning for primary total hip arthroplasty based on artificial intelligence technology.

BACKGROUND: Accurate preoperative planning is an important step for accurate reconstruction in total...

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.

Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countrie...

Machine learning classification on texture analyzed T2 maps of osteoarthritic cartilage: oulu knee osteoarthritis study.

OBJECTIVE: To introduce local binary pattern (LBP) texture analysis to cartilage osteoarthritis (OA)...

Automatic segmentation of inner ear on CT-scan using auto-context convolutional neural network.

Temporal bone CT-scan is a prerequisite in most surgical procedures concerning the ear such as cochl...

Learning curve for active robotic total knee arthroplasty.

PURPOSE: Total Knee Arthroplasty (TKA) procedures incorporate technology in an attempt to improve ou...

COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning.

Currently, COVID-19 is considered to be the most dangerous and deadly disease for the human body cau...

Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images.

SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and preventing va...

Lessons From Joint Improvisation Workshops for Musicians and Robotics Engineers.

We report on a series of workshops with musicians and robotics engineers aimed to study how human an...

Recurrent neural network with noise rejection for cyclic motion generation of robotic manipulators.

Recurrent neural network (RNN), as a kind of neural network with outstanding computing capability, i...

Real-time acoustic sensing and artificial intelligence for error prevention in orthopedic surgery.

In this work, we developed and validated a computer method capable of robustly detecting drill break...

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