Orthopedics

Sports Medicine

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

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Showing 1492-1512 of 5,666 articles
Robot-Based Assessment of HIV-Related Motor and Cognitive Impairment for Neurorehabilitation.

There is a pressing need for strategies to slow or treat the progression of functional decline in pe...

Mar 2021 33534709
The Influence of EMG-Triggered Robotic Movement on Walking, Muscle Force and Spasticity after an Ischemic Stroke.

: Application of the EMG-driven robotic training in everyday therapeutic processes is a modern and i...

Mar 2021 33801295
Individualized Gait Generation for Rehabilitation Robots Based on Recurrent Neural Networks.

Individualized reference gait patterns for lower limb rehabilitation robots can greatly improve the ...

Mar 2021 33332274
Optimizing predictive strategies for acute kidney injury after major vascular surgery.

BACKGROUND: Postoperative acute kidney injury is common after major vascular surgery and is associat...

Feb 2021 33648766
Validation of a deep-learning semantic segmentation approach to fully automate MRI-based left-ventricular deformation analysis in cardiotoxicity.

OBJECTIVE: Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated ...

Feb 2021 33571002
A usability study in patients with stroke using MERLIN, a robotic system based on serious games for upper limb rehabilitation in the home setting.

BACKGROUND: Neuroscience and neurotechnology are transforming stroke rehabilitation. Robotic devices...

Feb 2021 33622344
An inguinal hernia that arose after robot-assisted radical prostatectomy and the repair of an intraoperative external iliac vein injury: A case report.

This case involved a 63-year-old man. He underwent robot-assisted radical prostatectomy (RARP) for p...

Feb 2021 33619881
Assessment of acute kidney injury risk using a machine-learning guided generalized structural equation model: a cohort study.

BACKGROUND: Acute kidney injury is common in the surgical intensive care unit (ICU). It is associate...

Feb 2021 33618695
Robot-assisted rehabilitation of hand function after stroke: Development of prediction models for reference to therapy.

BACKGROUND: Recovery of hand function after stroke represents the hardest target for clinicians. Rob...

Feb 2021 33618325
Automatic screening of tear meniscus from lacrimal duct obstructions using anterior segment optical coherence tomography images by deep learning.

PURPOSE: We assessed the ability of deep learning (DL) models to distinguish between tear meniscus o...

Feb 2021 33576859
Machine intelligence identifies soluble TNFa as a therapeutic target for spinal cord injury.

Traumatic spinal cord injury (SCI) produces a complex syndrome that is expressed across multiple end...

Feb 2021 33564058
A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicity.

Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated Echoes (DEN...

Feb 2021 33571634
Bone strain index as a predictor of further vertebral fracture in osteoporotic women: An artificial intelligence-based analysis.

BACKGROUND: Osteoporosis is an asymptomatic disease of high prevalence and incidence, leading to bon...

Feb 2021 33556061
Effect of assist-as-needed robotic gait training on the gait pattern post stroke: a randomized controlled trial.

BACKGROUND: Regaining gait capacity is an important rehabilitation goal post stroke. Compared to cli...

Feb 2021 33546733
Decision Tree Algorithm Identifies Stroke Patients Likely Discharge Home After Rehabilitation Using Functional and Environmental Predictors.

BACKGROUND AND PURPOSE: The importance of environmental factors for stroke patients to achieve home ...

Feb 2021 33545520
Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.

IMPORTANCE: An objective, reliable indicator of the presence and severity of concussive brain injury...

Feb 2021 33587137
Head motion classification using thread-based sensor and machine learning algorithm.

Human machine interfaces that can track head motion will result in advances in physical rehabilitati...

Jan 2021 33514762
The Metabolic Cost of Exercising With a Robotic Exoskeleton: A Comparison of Healthy and Neurologically Impaired People.

While neuro-recovery is maximized through active engagement, it has been suggested that the use of r...

Jan 2021 33211660
A Novel Point-in-Polygon-Based sEMG Classifier for Hand Exoskeleton Systems.

In the early 2000s, data from the latest World Health Organization estimates paint a picture where o...

Jan 2021 33306470
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