Orthopedics

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

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Showing 3004-3024 of 5,223 articles
An integrated deep learning framework for joint segmentation of blood pool and myocardium.

Simultaneous and automatic segmentation of the blood pool and myocardium is an important preconditio...

A Single-Joint Implementation of Flow Control: Knee Joint Walking Assistance for Individuals With Mobility Impairment.

This paper describes the implementation of a movement control method for lower limb exoskeletons wit...

Alendronate/Vitamin D for attenuating bone mineral density loss during antiretroviral initiation: a pilot randomized controlled trial.

Antiretroviral therapy (ART) initiation is associated with decreases in bone mineral density (BMD)....

Biarticular muscles in light of template models, experiments and robotics: a review.

Leg morphology is an important outcome of evolution. A remarkable morphological leg feature is the e...

Robot-assisted arm training for treating adult patients with distal radius fracture: a proof-of-concept pilot study.

BACKGROUND: Fracture of the distal radius is a common wrist injury. As to its management after ortho...

Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model.

We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular gang...

A Classification Method of Oracle Materials Based on Local Convolutional Neural Network Framework.

The classification of materials of oracle bone is one of the most basic aspects for oracle bone morp...

Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.

OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In th...

[The value of artificial and human intelligence - the example of bone scintigraphy].

We present a possible method of Artificial Intelligence (AI) based applications that can effectively...

Hard exudate detection based on deep model learned information and multi-feature joint representation for diabetic retinopathy screening.

BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of...

Alginate fiber toughened gels similar to skin intelligence as ionic sensors.

The stretchable hydrogels provide potential alternatives to bionic skins. However, skin simulation r...

Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network.

OBJECTIVES: To investigate whether a deep learning model can predict the bone mineral density (BMD) ...

Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network.

Identifying the design of a failed implant is a key step in the preoperative planning of revision to...

Decoding rejuvenating effects of mechanical loading on skeletal aging using in vivo μCT imaging and deep learning.

Throughout the process of aging, dynamic changes of bone material, micro- and macro-architecture res...

Ga-PSMA PET/CT versus CT and bone scan for investigation of PSA failure post radical prostatectomy.

OBJECTIVE: To evaluate the use of Gallium-68 prostate-specific membrane antigen positron emission to...

Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period.

OBJECTIVE: To develop and evaluate deep learning (DL) risk assessment models for predicting the prog...

The Impact of ACL Laxity on a Bicondylar Robotic Knee and Implications in Human Joint Biomechanics.

OBJECTIVE: Elucidating the role of structural mechanisms in the knee can improve joint surgeries, re...

Radiomics for classification of bone mineral loss: A machine learning study.

PURPOSE: The purpose of this study was to develop predictive models to classify osteoporosis, osteop...

Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs.

Background A multitask deep learning model might be useful in large epidemiologic studies wherein de...

A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature.

Recently joint modeling methods of entity and relation exhibit more promising results than tradition...

Compact Series Visco-Elastic Joint (SVEJ) for Smooth Torque Control.

The design and control of a new series-viscous-elastic joint are presented. The proposed joint consi...

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