Orthopedics

Sports Medicine

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

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Orthopedics Subcategories: Sports Medicine
Showing 190-210 of 6,957 articles
Prediction of stress-strain behavior of rock materials under biaxial compression using a deep learning approach.

Deep learning has significantly advanced in predicting stress-strain curves. However, due to the com...

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study.

BACKGROUND: Persistent sepsis-associated acute kidney injury (SA-AKI) shows poor clinical outcomes a...

A Flexible and Adhesive Strain Sensor Based on Deep Eutectic Solvents for Deep Learning-Assisted Signal Recognition.

Flexible wearable electronic devices have garnered significant interest due to their inherent proper...

A cross-sectional study on ChatGPT's alignment with clinical practice guidelines in musculoskeletal rehabilitation.

BACKGROUND: AI models like ChatGPT have the potential to support musculoskeletal rehabilitation by p...

A robotic rehabilitation intervention in a home setting during the Covid-19 outbreak: a feasibility pilot study in patients with stroke.

BACKGROUND: Telerehabilitation allows patients to engage in therapy away from healthcare facilities,...

Timing of kidney replacement therapy in critically ill patients: A call to shift the paradigm in the era of artificial intelligence.

Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated wit...

Multiscale activity recognition algorithms to improve cross-subjects performance resilience in rehabilitation monitoring systems.

BACKGROUND AND OBJECTIVE: This study introduces multiscale feature learning to develop more robust a...

Dynamic simulation of knee joint mechanics: individualized multi-moment finite element modelling of patellar tendon stress during landing.

Patellar tendinopathy is prevalent in sports requiring high jumping demands, and understanding the i...

Post-stroke spontaneous motor recovery in mice can be predicted from acute-phase local field potential using machine learning.

Stroke remains a leading cause of long-term disability, underscoring the urgent need for effective p...

Using deep learning for estimation of time-since-injury in pediatric accidental fractures.

BACKGROUND: Estimating time-since-injury of healing fractures is imprecise, encompassing excessively...

Artificial Intelligence in rehabilitation: A narrative review on advancing patient care.

Artificial Intelligence (AI) is revolutionizing rehabilitation by enabling data-driven, personalized...

Estimating oxygen uptake in simulated team sports using machine learning models and wearable sensor data: A pilot study.

Accurate assessment of training status in team sports is crucial for optimising performance and redu...

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