Sports Medicine

Deep Learning to Predict Outcome in Severe Traumatic Brain Injury.

Outcome Prediction in Patients with Severe Traumatic Brain Injury Using Deep Learning from Head CT Scans.

Background After severe traumatic brain injury (sTBI), physicians use long-term prognostication to g...

Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards.

BACKGROUND: Lokomat therapy for gait rehabilitation has become increasingly popular. Most evidence s...

The clinical effects of brain-computer interface with robot on upper-limb function for post-stroke rehabilitation: a meta-analysis and systematic review.

PURPOSE: Many recent clinical studies have suggested that the combination of brain-computer interfac...

Automatic Evaluation of Motor Rehabilitation Exercises Based on Deep Mixture Density Neural Networks.

An automatic assessment system for physical telerehabilitation could reduce the time and cost of tre...

A systematic review on the usability of robotic and virtual reality devices in neuromotor rehabilitation: patients' and healthcare professionals' perspective.

BACKGROUND: The application of virtual reality (VR) and robotic devices in neuromotor rehabilitation...

Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model.

The most common cause of long-term disability and death in young adults is a traumatic brain injury....

Using Robot-Based Variables during Upper Limb Robot-Assisted Training in Subacute Stroke Patients to Quantify Treatment Dose.

In post-stroke motor rehabilitation, treatment dose description is estimated approximately. The aim ...

Application of the extended technology acceptance model to explore clinician likelihood to use robotics in rehabilitation.

PURPOSE: Evidence suggests that patients with upper limb impairment following a stroke do not receiv...

Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted Accelerometer.

Even though practicing sports has great health benefits, it also entails a risk of developing overus...

Artificial intelligence: a solution to involution of design-build-test-learn cycle.

Iterative design-build-test-learn (DBTL) cycles are routinely performed during microbial strain deve...

Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome.

Artificial intelligence and machine learning (AI/ML) is becoming increasingly more accessible to bio...

A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images.

Foot progression angle (FPA) analysis is one of the core methods to detect gait pathologies as basic...

Study on the Effects of Different Seat and Leg Support Conditions of a Trunk Rehabilitation Robot.

Performance of trunk rehabilitation exercises while sitting on movable surfaces with feet on the gro...

Robot-assisted and traditional intensive rehabilitation therapy in the treatment of post-acute stroke patient: the experience of a standard rehabilitation ward.

Promoter prediction in nannochloropsis based on densely connected convolutional neural networks.

Promoter is a key DNA element located near the transcription start site, which regulates gene transc...

KinectGaitNet: Kinect-Based Gait Recognition Using Deep Convolutional Neural Network.

Over the past decade, gait recognition had gained a lot of attention in various research and industr...

Rehabilitation Treatment of Muscle Strain in Athlete Training under Intelligent Intervention.

With the development of artificial intelligence technology in the medical field, clinical trials usi...

Using Artificial Neuro-Molecular System in Robotic Arm Motion Control-Taking Simulation of Rehabilitation as an Example.

Under the delicate control of the brain, people can perform graceful movements through the coordinat...

Crash test-based assessment of injury risks for adults and children when colliding with personal mobility devices and service robots.

Autonomous mobility devices such as transport, cleaning, and delivery robots, hold a massive economi...

Deep learning approach identified a gene signature predictive of the severity of renal damage caused by chronic cadmium accumulation.

Epidemiology studies have indicated that environmental cadmium exposure, even at low levels, will re...