Orthopedics

Sports Medicine

Latest AI and machine learning research in sports medicine for healthcare professionals.

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Orthopedics Subcategories: Sports Medicine
Showing 211-231 of 6,957 articles
Integrative neurorehabilitation using brain-computer interface: From motor function to mental health after stroke.

Stroke remains a leading cause of mortality and long-term disability worldwide, frequently resulting...

Achieving precision assessment of functional clinical scores for upper extremity using IMU-Based wearable devices and deep learning methods.

Stroke is a serious cerebrovascular disease, and rehabilitation following the acute phase is particu...

An 8-Micrometer-Thick Film Strain Sensor with Conformal 3D Microstructure for Accurate Detection of Body Motion and Air Leakage.

Elastomer-based resistive super-thin film strain sensors show great application potentials in electr...

Review of sEMG for Exoskeleton Robots: Motion Intention Recognition Techniques and Applications.

The global aging trend is becoming increasingly severe, and the demand for life assistance and medic...

The efficacy and toxicity equilibrium of emodin for liver injury: A bidirectional meta-analysis and machine learning.

BACKGROUND: Emodin, a hepatoprotective agent derived from various herbs, exhibits dual effects on li...

Utilizing machine learning and geographic analysis to improve Post-crash traffic injury management and emergency response systems.

Traffic injuries are a major public health concern globally. This study uses machine learning (ML) a...

Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI.

This study aims to compare brain activity differences under the motor imagery-brain-computer interfa...

Semantic-consistent diffusion model for unsupervised traumatic brain injury detection and segmentation from computed tomography images.

BACKGROUND: Unsupervised traumatic brain injury (TBI) lesion detection aims to identify and segment ...

Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions.

Robotic technology is expected to transform rehabilitation settings, by providing precise, repetitiv...

Healthcare practitioners and robotic-assisted rehabilitation: understanding needs and barriers.

BACKGROUNDS: In recent years, numerous robotic devices, together with allied technologies, have been...

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation.

BACKGROUND: Postoperative acute kidney injury (AKI) is a significant risk associated with surgeries ...

Is artificial intelligence superior to traditional regression methods in predicting prognosis of adult traumatic brain injury?

Traumatic brain injury (TBI) is a significant global health issue with high morbidity and mortality ...

Method of Forearm Muscles 3D Modeling Using Robotic Ultrasound Scanning.

The accurate assessment of muscle morphology and function is crucial for medical diagnostics, rehabi...

A muscle synergy-based method to improve robot-assisted movements.

There is increasing interest in using assistive robotic devices to support motor re-learning and rec...

A new approach to bioceramics based on tissue reaction of tricalcium phosphate for biomedical and sport applications using machine learning modeling.

Tricalcium phosphate (TCP) bioceramics have emerged as a promising option to meet the specific requi...

Forecasting motion trajectories of elbow and knee joints during infant crawling based on long-short-term memory (LSTM) networks.

BACKGROUND: Hands-and-knees crawling is a promising rehabilitation intervention for infants with mot...

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