Orthopedics

Sports Medicine

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

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Orthopedics Subcategories: Sports Medicine
Showing 1534-1554 of 7,018 articles
Early Prediction of Acute Kidney Injury in the Emergency Department With Machine-Learning Methods Applied to Electronic Health Record Data.

STUDY OBJECTIVE: Acute kidney injury occurs commonly and is a leading cause of prolonged hospitaliza...

IoT Architecture for Smart Control of an Exoskeleton Robot in Rehabilitation by Using a Natural User Interface Based on Gestures.

This paper describes a system for allowing a therapist to record specific motions, as a part of a re...

XGBoost, a Machine Learning Method, Predicts Neurological Recovery in Patients with Cervical Spinal Cord Injury.

The accurate prediction of neurological outcomes in patients with cervical spinal cord injury (SCI) ...

Designing a Cyber-Physical System for Ambient Assisted Living: A Use-Case Analysis for Social Robot Navigation in Caregiving Centers.

The advances of the Internet of Things, robotics, and Artificial Intelligence, to give just a few ex...

Intra-cortical brain-machine interfaces for controlling upper-limb powered muscle and robotic systems in spinal cord injury.

OBJECTIVE: Intracortical brain-machine interface (iBMI) is an assistive strategy to restore lost sen...

Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study.

Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology pract...

Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach.

OBJECTIVES: We aimed to build a machine learning predictive model to predict the risk of prolonged m...

High accurate lightweight deep learning method for gesture recognition based on surface electromyography.

BACKGROUND AND OBJECTIVES: Surface Electromyography (sEMG) is used mostly for neuromuscular diagnosi...

The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms.

In this study, two novel fuzzy decision approaches, where the fuzzy logic (FL) model was revised wit...

Promoting clinical best practice in a user-centred design study of an upper limb rehabilitation robot.

PURPOSE: Despite their promise to increase therapy intensity in neurorehabilitation, robotic devices...

Comparison study of classification methods of intramuscular electromyography data for non-human primate model of traumatic spinal cord injury.

Traumatic spinal cord injury is a serious neurological disorder. Patients experience a plethora of s...

A Self-Powered Angle Sensor at Nanoradian-Resolution for Robotic Arms and Personalized Medicare.

As the dominant component for precise motion measurement, angle sensors play a vital role in robotic...

Improved Active Disturbance Rejection Control for Trajectory Tracking Control of Lower Limb Robotic Rehabilitation Exoskeleton.

Neurological disorders such as cerebral paralysis, spinal cord injuries, and strokes, result in the ...

Machine learning prediction of combat basic training injury from 3D body shape images.

INTRODUCTION: Athletes and military personnel are both at risk of disabling injuries due to extreme ...

Robot-assisted therapy for upper-limb rehabilitation in subacute stroke patients: A systematic review and meta-analysis.

BACKGROUND: Stroke survivors often experience upper-limb motor deficits and achieve limited motor re...

Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation.

Cardiovascular diseases (CVD) are often characterized by their multifactorial complexity. This makes...

Functional recovery in multiple sclerosis patients undergoing rehabilitation programs is associated with plasma levels of hemostasis inhibitors.

BACKGROUND: Increasing evidence for contribution of hemostasis components in multiple sclerosis (MS)...

Inside pandora's box: a systematic review of the assessment of the perceived quality of chatbots for people with disabilities or special needs.

People with disabilities or special needs can benefit from AI-based conversational agents (i.e., ch...

Gait Event Detection for Stroke Patients during Robot-Assisted Gait Training.

Functional electrical stimulation and robot-assisted gait training are techniques which are used in ...

Acute kidney injury and its impact on renal prognosis after robot-assisted laparoscopic radical prostatectomy.

BACKGROUND: This study assessed the incidence and impact of acute kidney injury (AKI) on renal progn...

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