Orthopedics

Sports Medicine

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

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Showing 1429-1449 of 7,018 articles
Individualised Responsible Artificial Intelligence for Home-Based Rehabilitation.

Socioeconomic reasons post-COVID-19 demand unsupervised home-based rehabilitation and, specifically,...

Prediction of outcomes after acute kidney injury in hospitalised patients: protocol for a systematic review.

INTRODUCTION: Acute kidney injury (AKI) is common and is associated with negative long-term outcomes...

Deep Graph Learning with Property Augmentation for Predicting Drug-Induced Liver Injury.

Drug-induced liver injury (DILI) is a crucial factor in determining the qualification of potential d...

Predicting the Development of Surgery-Related Pressure Injury Using a Machine Learning Algorithm Model.

BACKGROUND: Surgery-related pressure injury (SRPI) is a serious problem in patients who undergo card...

Wearable rehabilitation exoskeletons of the lower limb: analysis of versatility and adaptability.

PURPOSE: To analyse the versatility and adaptability of commercially available exoskeletons for mobi...

Artificial intelligence prediction of the effect of rehabilitation in whiplash associated disorder.

The active cervical range of motion (aROM) is assessed by clinicians to inform their decision-making...

Brain Contrast-Enhanced Ultrasound Evaluation of a Pediatric Swine Model.

Brain injury remains a leading cause of morbidity and mortality in children. We evaluated the feasib...

Instantaneous Whole-Brain Strain Estimation in Dynamic Head Impact.

Head injury models are notoriously time consuming and resource demanding in simulations, which preve...

Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach.

BACKGROUND: The study aimed to introduce a machine learning model that predicts in-hospital mortalit...

Evaluating Intrinsic Fall Risk Factors After Incomplete Spinal Cord Injury: Distinguishing Fallers From Nonfallers.

OBJECTIVE: To determine whether performance on measures of lower extremity muscle strength, sensory ...

Shoulder hydrodilatation for primary, post-traumatic and post-operative adhesive capsulitis.

BACKGROUND: Adhesive capsulitis (frozen shoulder) is characterised by pain and loss of range of moti...

A model for predicting 7-day pressure injury outcomes in paediatric patients: A machine learning approach.

AIMS: We sought to explore factors associated with early pressure injury progression and build a mod...

Safety Evaluation and Experimental Study of a New Bionic Muscle Cable-Driven Lower Limb Rehabilitation Robot.

Safety is a significant evaluation index of rehabilitation medical devices and a significant precond...

A biomimetic soft robotic pinna for emulating dynamic reception behavior of horseshoe bats.

Encoding of sensory information is fundamental to closing the performance gap between man-made and b...

The realization of robotic neurorehabilitation in clinical: use of computational intelligence and future prospects analysis.

: Although there is a need for rehabilitation treatment with the increase in the aging population, t...

An Exoneuromusculoskeleton for Self-Help Upper Limb Rehabilitation After Stroke.

This article presents a novel electromyography (EMG)-driven exoneuromusculoskeleton that integrates ...

Predicting Post-Concussion Symptom Recovery in Adolescents Using a Novel Artificial Intelligence.

This pilot study explores the possibility of predicting post-concussion symptom recovery at one week...

NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall.

Mild traumatic brain injury (mTBI) presents a significant health concern with potential persisting d...

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