Orthopedics

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

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Showing 757-777 of 5,194 articles
Damage explains function in spiking neural networks representing central pattern generator.

Complex biological systems have evolved to control movement dynamics despite noisy and unpredictable...

Study on the application of deep learning artificial intelligence techniques in the diagnosis of nasal bone fracture.

PURPOSE: To evaluate the identification of nasal bone fractures and their clinical diagnostic signif...

Attention and dilated convolutions inclusive deep-CNN with multiplexed texture features to diagnose Pathological and High Myopia.

In today's era, precise and timely diagnosis of ocular diseases are crucial as these disorders jeopa...

Multibody system dynamics for bio-robotic design and simulation based on inching-locomotion caterpillar's gait: MBD-ILAR method.

Inching-locomotion caterpillars (ILAR) inspire the design of 'inch-worm' robots with biomimicry feat...

Artificial intelligence in emergency neuroradiology: Current applications and perspectives.

Emergency neuroradiology provides rapid diagnostic decision-making and guidance for management for a...

Joint Extraction of Biomedical Events Based on Dynamic Path Planning Strategy and Hybrid Neural Network.

Biomedical event detection is a pivotal information extraction task in molecular biology and biomedi...

Predicting Early Hospital Discharge Following Revision Total Hip Arthroplasty: An Analysis of a Large National Database Using Machine Learning.

BACKGROUND: Revision total hip arthroplasty (rTHA) was recently removed from the Medicare inpatient-...

Predicting 30-day reoperation following primary total knee arthroplasty: machine learning model outperforms the ACS risk calculator.

The ACS risk calculator (ARC) has proven less effective in predicting patient-specific risk of early...

FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning.

Federated learning (FL) enables a decentralized machine learning paradigm for multiple clients to co...

Applications of Artificial Intelligence for Health Care Providers.

Recent research shows that physicians lack the knowledge and ability to use artificial intelligence ...

A dual-decoder banded convolutional attention network for bone segmentation in ultrasound images.

BACKGROUND: Ultrasound (US) has great potential for application in computer-assisted orthopedic surg...

An AI-Driven Framework for Detecting Bone Fractures in Orthopedic Therapy.

This study presents an advanced artificial intelligence-driven framework designed to enhance the spe...

Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol.

INTRODUCTION: Paediatric fractures are common but can be easily missed on radiography leading to pot...

Accuracy of radiologists and radiology residents in detection of paediatric appendicular fractures with and without artificial intelligence.

OBJECTIVES: We aim to evaluate the accuracy of radiologists and radiology residents in the detection...

tDKI-Net: A Joint q-t Space Learning Network for Diffusion-Time-Dependent Kurtosis Imaging.

Time-dependent diffusion magnetic resonance imaging (TDDMRI) is useful for the non-invasive characte...

Machine learning-based analysis of programmed cell death types and key genes in intervertebral disc degeneration.

Intervertebral disc degeneration (IVDD) is intricately associated with various forms of programmed c...

Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks.

Developmental plasticity plays a prominent role in shaping the brain's structure during ongoing lear...

Diagnostic accuracy of deep learning in prediction of osteoporosis: a systematic review and meta-analysis.

BACKGROUND: Osteoporosis is one of the most common metabolic diseases that is characterized by a dec...

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