Orthopedics

Sports Medicine

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

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Orthopedics Subcategories: Sports Medicine
Showing 358-378 of 6,957 articles
Development of Machine-learning Model to Predict Anticoagulant Use and Type in Geriatric Traumatic Brain Injury Using Coagulation Parameters.

This study aimed to investigate the patterns of anticoagulation therapy and coagulation parameters a...

Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person.

Recently, social demands for a good quality of life have increased among the elderly and disabled pe...

Consumer views of functional electrical stimulation and robotic exoskeleton in SCI rehabilitation: A mini review.

BACKGROUND: Functional electrical stimulation (FES) and robotic exoskeletons represent emerging tech...

Enhancement on selenium volatilization for phytoremediation: role of plant and soil microbe interaction.

This study aimed at quantifying the potential effects of plant and soil microbial interaction on sel...

Finding the needle in the haystack of isokinetic knee data: Random Forest modelling improves information about ACLR-related deficiencies.

The difficulties of rehabilitation after anterior cruciate ligament (ACL) injuries, subsequent retur...

Machine learning for the prediction of mortality in patients with sepsis-associated acute kidney injury: a systematic review and meta-analysis.

BACKGROUND: Predicting mortality in sepsis-related acute kidney injury facilitates early data-driven...

Development of a Virtual Robot Rehabilitation Training System for Children with Cerebral Palsy: An Observational Study.

This paper presents the development of a robotic system for the rehabilitation and quality of life i...

Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning.

BACKGROUND: Liver injury from drug-drug interactions (DDIs), notably with anti-tuberculosis drugs su...

Enhancing Deep-Learning Classification for Remote Motor Imagery Rehabilitation Using Multi-Subject Transfer Learning in IoT Environment.

One of the most promising applications for electroencephalogram (EEG)-based brain-computer interface...

Artificial intelligence tools for engagement prediction in neuromotor disorder patients during rehabilitation.

BACKGROUND: Robot-Assisted Gait Rehabilitation (RAGR) is an established clinical practice to encoura...

A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study.

BACKGROUND: Acute kidney injury (AKI) is common in patients with community-acquired pneumonia (CAP) ...

Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury.

BACKGROUND: Nonsuicidal self-injury is a common health problem in adolescents and associated with fu...

Artificial Intelligence and Its Revolutionary Role in Physical and Mental Rehabilitation: A Review of Recent Advancements.

The integration of artificial intelligence (AI) technologies into physical and mental rehabilitation...

Effect of the Ultrasound-Guided Interscalene and Supraclavicular Blocks on the C4 Dermatome.

PURPOSE: The C4 dermatome anesthesia holds significance for arthroscopic shoulder surgery. However, ...

Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining.

Psychosocial rehabilitation and psychosocial disability research have been a longstanding topic in h...

Onset and long-term duration of immunity provided by a single vaccination with recombinant a Marek's disease virus with REV-LTR insertion.

Marek's Disease (MD), caused by Marek's disease virus (MDV), is a highly contagious lymphoproliferat...

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