Orthopedics

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

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Showing 2521-2541 of 5,212 articles
Your mileage may vary: impact of data input method for a deep learning bone age app's predictions.

OBJECTIVE: The purpose of this study was to evaluate agreement in predictions made by a bone age pre...

Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT.

UNLABELLED: We developed and compared deep learning models to detect hip osteoarthritis on clinical ...

Development and internal validation of machine learning algorithms to predict patient satisfaction after total hip arthroplasty.

BACKGROUND: Patient satisfaction is a unique and important measure of success after total hip arthro...

Artificial intelligence for MRI diagnosis of joints: a scoping review of the current state-of-the-art of deep learning-based approaches.

Deep learning-based MRI diagnosis of internal joint derangement is an emerging field of artificial i...

A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo.

Three-dimensional (3-D) reconstruction of the spine surface is of strong clinical relevance for the ...

Report of clinical bone age assessment using deep learning for an Asian population in Taiwan.

INTRODUCTION: A deep learning-based automatic bone age identification system (ABAIs) was introduced ...

The Use of Synthetic IMU Signals in the Training of Deep Learning Models Significantly Improves the Accuracy of Joint Kinematic Predictions.

Gait analysis based on inertial sensors has become an effective method of quantifying movement mecha...

Efficacy of wrist robot-aided orthopedic rehabilitation: a randomized controlled trial.

BACKGROUND: In recent years, many studies focused on the use of robotic devices for both the assessm...

Automated description of the mandible shape by deep learning.

PURPOSE: The shape of the mandible has been analyzed in a variety of fields, whether to diagnose con...

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis.

The fracture risk of patients with diabetes is higher than those of patients without diabetes due to...

Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis.

BACKGROUND: Osteoporosis is an underdiagnosed and undertreated disease worldwide. Recent studies hav...

Machine Learning-Based Individualized Survival Prediction Model for Total Knee Replacement in Osteoarthritis: Data From the Osteoarthritis Initiative.

OBJECTIVE: By using machine learning, our study aimed to build a model to predict risk and time to t...

A deep learning-machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors.

OBJECTIVES: To build and validate deep learning and machine learning fusion models to classify benig...

Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning.

Judging swallowing kinematic impairments via videofluoroscopy represents the gold standard for the d...

Deep Learning-Based Image Automatic Assessment and Nursing of Upper Limb Motor Function in Stroke Patients.

This paper mainly introduces the relevant contents of automatic assessment of upper limb mobility af...

Effect of Patient Clinical Variables in Osteoporosis Classification Using Hip X-rays in Deep Learning Analysis.

: A few deep learning studies have reported that combining image features with patient variables enh...

Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT.

OBJECTIVE: The purpose of this study was to assess whether a deep learning (DL) algorithm could enab...

ARMA-Based Segmentation of Human Limb Motion Sequences.

With the development of human motion capture (MoCap) equipment and motion analysis technologies, MoC...

A siamese network with adaptive gated feature fusion for individual knee OA features grades prediction.

Grading individual knee osteoarthritis (OA) features is a fine-grained knee OA severity assessment. ...

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