Orthopedics

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

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Showing 3025-3045 of 5,223 articles
Domain-invariant interpretable fundus image quality assessment.

Objective and quantitative assessment of fundus image quality is essential for the diagnosis of reti...

Estimation of absolute states of human skeletal muscle via standard B-mode ultrasound imaging and deep convolutional neural networks.

The objective is to test automated estimation of active and passive skeletal muscle states using ul...

New Insights and Methods in the Approach to Thalassemia Major: The Lesson From the Case of Adrenal Insufficiency.

Thalassemia Major (TM) is a complex pathology that needs a highly skilled approach. Endocrine comor...

Pattern Recognition in Musculoskeletal Imaging Using Artificial Intelligence.

Artificial intelligence (AI) has the potential to affect every step of the radiology workflow, but t...

The Use of Artificial Intelligence in the Evaluation of Knee Pathology.

Artificial intelligence (AI) holds the potential to revolutionize the field of radiology by increasi...

Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method.

BACKGROUND: Bone age (BA) assessment performed by artificial intelligence (AI) is of growing interes...

Using Deep Learning in Ultrasound Imaging of Bicipital Peritendinous Effusion to Grade Inflammation Severity.

Inflammation of the long head of the biceps tendon is a common cause of shoulder pain. Bicipital per...

Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.

Detection of early stages of Alzheimer's disease (AD) (i.e., mild cognitive impairment (MCI)) is imp...

Preliminary experience with an image-free handheld robot for total knee arthroplasty: 77 cases compared with a matched control group.

BACKGROUND: Achieving an optimal limb alignment is an important factor affecting the long-term survi...

A 3D deep supervised densely network for small organs of human temporal bone segmentation in CT images.

Computed Tomography (CT) has become an important way for examining the critical anatomical organs of...

Toward automatic quantification of knee osteoarthritis severity using improved Faster R-CNN.

PURPOSE: Knee osteoarthritis (OA) is a common disease that impairs knee function and causes pain. Ra...

Deep learning in fracture detection: a narrative review.

Artificial intelligence (AI) is a general term that implies the use of a computer to model intellige...

A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration.

To achieve accurate and fast deformable image registration (DIR) for pulmonary CT, we proposed a Mul...

Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.

BACKGROUND AND OBJECTIVE: Segmentation is a crucial step in multiple biomechanics and orthopedics ap...

Research on motion planning for an indoor spray arm based on an improved potential field method.

The target spraying effect of spray robots mainly depends on the control performance of the spraying...

Compact Bone Surgery Robot With a High-Resolution and High-Rigidity Remote Center of Motion Mechanism.

OBJECTIVE: Two important and difficult tasks during a bone drilling procedure are guiding the orient...

Predictive validity of radiographic signs of complete discoid lateral meniscus in children using machine learning techniques.

The diagnostic utility of radiographic signs of complete discoid lateral meniscus remains controvers...

How will digitalisation affect patient treatment in arthroplasty? Part I: Intraoperative aspects.

We cannot deny that technology has become an important part of our daily life, not only in automobil...

Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.

Machine learning has become ubiquitous and a key technology on mining electronic health records (EHR...

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data.

Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and current trea...

Family history information extraction via deep joint learning.

Family history (FH) information, including family members, side of family of family members (i.e., m...

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