Orthopedics

Sports Medicine

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

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Orthopedics Subcategories: Sports Medicine
Showing 442-462 of 6,959 articles
Trends in brain MRI and CP association using deep learning.

Cerebral palsy (CP) is a neurological disorder that dissipates body posture and impairs motor functi...

Deep learning from head CT scans to predict elevated intracranial pressure.

BACKGROUND AND PURPOSE: Elevated intracranial pressure (ICP) resulting from severe head injury or st...

Features selection in a predictive model for cardiac surgery-associated acute kidney injury.

BackgroundCardiac surgery-associated acute kidney injury (CSA-AKI) is related to increased morbidity...

FluPMT: Prediction of Predominant Strains of Influenza A Viruses via Multi-Task Learning.

Seasonal influenza vaccines play a crucial role in saving numerous lives annually. However, the cons...

Development and validation of the PHM-CPA model to predict in-hospital mortality for cirrhotic patients with acute kidney injury.

BACKGROUND: The presence of acute kidney injury (AKI) significantly increases in-hospital mortality ...

Application of artificial neural network for the mechano-bactericidal effect of bioinspired nanopatterned surfaces.

This study aimed to calculate the effect of nanopatterns' peak sharpness, width, and spacing paramet...

A Robotic Clamped-Kinematic System to Study Knee Ligament Injury.

Knee ligament injury is among the most common sports injuries and is associated with long recovery p...

Machine-learning based prediction model for acute kidney injury induced by multiple wasp stings.

Acute kidney injury (AKI) following multiple wasp stings is a severe complication with potentially p...

Investigation of a surrogate measure-based safety index for predicting injury crashes at signalized intersections.

OBJECTIVES: The paper develops a machine learning-based safety index for classifying traffic conflic...

Multifunctional Human-Computer Interaction System Based on Deep Learning-Assisted Strain Sensing Array.

Continuous and reliable monitoring of gait is crucial for health monitoring, such as postoperative r...

Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury.

BACKGROUND: In neurointensive care, increased intracranial pressure (ICP) is a feared secondary brai...

Air-Writing Recognition Enabled by a Flexible Dual-Network Hydrogel-Based Sensor and Machine Learning.

Accurate air-writing recognition is pivotal for advancing state-of-the-art text recognizers, encrypt...

Virtual Obstacle Avoidance Strategy: Navigating through a Complex Environment While Interacting with Virtual and Physical Elements.

Robotic walking devices can be used for intensive exercises to enhance gait rehabilitation therapies...

Soft robotic artificial left ventricle simulator capable of reproducing myocardial biomechanics.

The heart's intricate myocardial architecture has been called the Gordian knot of anatomy, an imposs...

Robotic dog for navigation of a rehabilitation wheelchair robot in a highly constrained environment.

Adaptation to technological advancements and intelligent digital tools can enable healthcare provide...

Teaching Motor Skills Without a Motor: A Semi-Passive Robot to Facilitate Learning.

Semi-passive rehabilitation robots resist and steer a patient's motion using only controllable passi...

A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey.

BACKGROUND: The identification of concussion risk factors, such as visible signs and mechanisms of i...

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