Orthopedics

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

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Showing 2731-2751 of 5,212 articles
A Deep Learning Tool for Automated Radiographic Measurement of Acetabular Component Inclination and Version After Total Hip Arthroplasty.

BACKGROUND: Inappropriate acetabular component angular position is believed to increase the risk of ...

A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs.

Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in trauma pati...

Automatic screening of tear meniscus from lacrimal duct obstructions using anterior segment optical coherence tomography images by deep learning.

PURPOSE: We assessed the ability of deep learning (DL) models to distinguish between tear meniscus o...

Application of machine learning to the identification of joint degrees of freedom involved in abnormal movement during upper limb prosthesis use.

To evaluate movement quality of upper limb (UL) prosthesis users, performance-based outcome measures...

Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study.

PURPOSE: Spinal lesion differential diagnosis remains challenging even in MRI. Radiomics and machine...

Performance of an artificial intelligence system for bone age assessment in Tibet.

OBJECTIVE: To investigate whether bone age (BA) of children living in Tibet Highland could be accura...

A Correlation Analysis between SNPs and ROIs of Alzheimer's Disease Based on Deep Learning.

. At present, the research methods for image genetics of Alzheimer's disease based on machine learni...

Bone strain index as a predictor of further vertebral fracture in osteoporotic women: An artificial intelligence-based analysis.

BACKGROUND: Osteoporosis is an asymptomatic disease of high prevalence and incidence, leading to bon...

Machine learning-augmented and microspectroscopy-informed multiparametric MRI for the non-invasive prediction of articular cartilage composition.

BACKGROUND: Articular cartilage degeneration is the hallmark change of osteoarthritis, a severely di...

A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective.

Higher-resolution biopsy slice images reveal many details, which are widely used in medical practice...

Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision.

Computed tomography (CT) provides information for diagnosis, PET attenuation correction (AC), and ra...

An algorithm for using deep learning convolutional neural networks with three dimensional depth sensor imaging in scoliosis detection.

BACKGROUND CONTEXT: Timely intervention in growing individuals, such as brace treatment, relies on e...

Deep learning for the radiographic diagnosis of proximal femur fractures: Limitations and programming issues.

INTRODUCTION: Radiology is one of the domains where artificial intelligence (AI) yields encouraging ...

VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data.

The fundamental motivation of the proposed work is to present a new visualization-guided computing p...

Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network.

BACKGROUND: Glaucoma is an eye disease that causes vision loss and even blindness. The cup to disc r...

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