Orthopedics

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

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Showing 631-651 of 5,185 articles
Automatic segmentation of the midfacial bone surface from ultrasound images using deep learning methods.

With developments in computer science and technology, great progress has been made in three-dimensio...

Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry.

BACKGROUND: Osteoarthritis (OA) is a chronic joint condition that causes pain, limited mobility, and...

A Deep Learning Tool for Minimum Joint Space Width Calculation on Antero-posterior Knee Radiographs.

BACKGROUND: Minimum joint space width (mJSW) is an important continuous quantitative metric of osteo...

Development of a Deep Learning Model for Automating Implant Position in Total Hip Arthroplasty.

BACKGROUND: Novel methods for annotating antero-posterior pelvis radiographs and fluoroscopic images...

Robot-Assisted Endodontic Retreatment: A Case Report with Clinical Considerations.

Fiber posts present significant challenges for nonsurgical endodontic retreatment, as improper remov...

Artificial neural networks' estimations of lower-limb kinetics in sidestepping: Comparison of full-body vs. lower-body landmark sets.

Artificial neural networks (ANNs) offers potential for obtaining kinetics in non-laboratory. This st...

An unsupervised learning approach for clustering joint trajectories of Alzheimer's disease biomarkers: An application to ADNI Data.

INTRODUCTION: Current models of Alzheimer's disease (AD) progression assume a common pattern and pat...

Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis.

The Sharp-van der Heijde score (SvH) is crucial for assessing joint damage in rheumatoid arthritis (...

Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery.

With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scolios...

Use of AI methods to assessment of lower limb peak torque in deaf and hearing football players group.

Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an impo...

A machine learning approach to real-time calculation of joint angles during walking and running using self-placed inertial measurement units.

BACKGROUND: Inter-segment joint angles can be obtained from inertial measurement units (IMUs); howev...

A deep learning pipeline for systematic and accurate vertebral fracture reporting in computed tomography.

AIM: Spine fractures are a frequent and relevant diagnosis, but systematic documentation is time-con...

Automated diagnosis and classification of temporomandibular joint degenerative disease via artificial intelligence using CBCT imaging.

OBJECTIVES: In this study, artificial intelligence (AI) techniques were used to achieve automated di...

Optimising deep learning models for ophthalmological disorder classification.

Fundus imaging, a technique for recording retinal structural components and anomalies, is essential ...

Elephant-inspired tapered cable-driven hyper-redundant manipulator: design and performance analysis.

The cable-driven hyper-redundant manipulator (CDHM), distinguished by its high flexibility and adjus...

AI-assisted radiologists vs. standard double reading for rib fracture detection on CT images: A real-world clinical study.

To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and standa...

Diagnosis and detection of bone fracture in radiographic images using deep learning approaches.

INTRODUCTION: Bones are a fundamental component of human anatomy, enabling movement and support. Bon...

DenseSeg: joint learning for semantic segmentation and landmark detection using dense image-to-shape representation.

PURPOSE: Semantic segmentation and landmark detection are fundamental tasks of medical image process...

A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography.

Magnetic resonance electrical properties tomography can extract the electrical properties of in-vivo...

Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework.

Oral squamous cell carcinoma (OSCC) is the most common form of oral cancer, with increasing global i...

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