Sports Medicine

The efficacy of hybrid neuroprostheses in the rehabilitation of upper limb impairment after stroke, a narrative and systematic review with a meta-analysis.

BACKGROUND: Paresis of the upper limb (UL) is the most frequent impairment after a stroke. Hybrid ne...

Comment on: Efficacy of Robot-Assisted Training on Rehabilitation of Upper Limb Function in Patients With Stroke: A Systematic Review and Meta-analysis.

Customized Trajectory Optimization and Compliant Tracking Control for Passive Upper Limb Rehabilitation.

Passive rehabilitation training in the early poststroke period can promote the reshaping of the nerv...

An Intelligent Rehabilitation Assessment Method for Stroke Patients Based on Lower Limb Exoskeleton Robot.

The 6-min walk distance (6MWD) and the Fugl-Meyer assessment lower-limb subscale (FMA-LE) of the str...

Predicting Free Achilles Tendon Strain From Motion Capture Data Using Artificial Intelligence.

The Achilles tendon (AT) is sensitive to mechanical loading, with appropriate strain improving tissu...

Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR.

Strain represents the quantification of regional tissue deformation within a given area. Myocardial ...

Artificial Intelligence-Assisted Strain Echocardiography in an Ex Vivo Heart.

Therapy-based expert system on function and postural stability after anterior cruciate ligament reconstruction: a pilot study.

PURPOSE: Wii Fit exergames have been less commonly used for the rehabilitation of athletes after Ant...

Technological Advances in Stroke Rehabilitation: Robotics and Virtual Reality.

Robotic technology and virtual reality (VR) have been widely studied technologies in stroke rehabili...

AI-ChatGPT/GPT-4: An Booster for the Development of Physical Medicine and Rehabilitation in the New Era!

Artificial intelligence (AI) has been driving the continuous development of the Physical Medicine an...

Data-driven crash prediction by injury severity using a recurrent neural network model based on Keras framework.

With the development of big data technology and the improvement of deep learning technology, data-dr...

How can artificial intelligence help rehabilitation programs for people with hemophilia in the coming decades?

Mechanistic Task Groupings Enhance Multitask Deep Learning of Strain-Specific Ames Mutagenicity.

The Ames test is a gold standard mutagenicity assay that utilizes various strains with and without ...

Novel use of robot-assisted gait rehabilitation in a patient with stroke and blindness.

Robot-assisted gait training (RAGT) is an effective adjunctive treatment for patients with stroke th...

A Morphologically Individualized Deep Learning Brain Injury Model.

The brain injury modeling community has recommended improving model subject specificity and simulati...

Initial Testing of Robotic Exoskeleton Hand Device for Stroke Rehabilitation.

The preliminary test results of a novel robotic hand rehabilitation device aimed at treatment for th...

Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach.

BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency departme...

Home-based upper limb stroke rehabilitation mechatronics: challenges and opportunities.

Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mec...

Patent Review of Lower Limb Rehabilitation Robotic Systems by Sensors and Actuation Systems Used.

Robotic systems for lower limb rehabilitation are essential for improving patients' physical conditi...

Deep Learning-Assisted Gait Parameter Assessment for Neurodegenerative Diseases: Model Development and Validation.

BACKGROUND: Neurodegenerative diseases (NDDs) are prevalent among older adults worldwide. Early diag...

Predicting Neuromuscular Engagement to Improve Gait Training with a Robotic Ankle Exoskeleton.

The clinical efficacy of robotic rehabilitation interventions hinges on appropriate neuromuscular re...