Latest AI and machine learning research in strokes for healthcare professionals.
BACKGROUND: Determine the effects of an integrated rehabilitation protocol, including botulinum toxi...
Hypertension remains the largest modifiable cause of mortality worldwide despite the availability of...
OBJECTIVE: To investigate the effectiveness of robot-assisted therapy on balance function in stroke ...
PURPOSE: To explore a new approach mainly based on deep learning residual network (ResNet) to detect...
OBJECTIVES: While the prevalence of active cancer patients experiencing acute stroke is increasing, ...
BACKGROUND AND PURPOSE: In acute stroke patients with large vessel occlusions, it would be helpful t...
The literature for robotic mitral repair is dominated by a small number of large volume institutions...
A rotator cuff tear (RCT) is an injury in adults that causes difficulty in moving, weakness, and pai...
BACKGROUND: HoMEcare aRm rehabiLItatioN (MERLIN) is an unactuated version of the robotic device ArmA...
BACKGROUND: Despite the importance of stroke volume readings in understanding the work of the cardio...
BACKGROUND: Stroke is an important clinical outcome in cardiovascular research. However, the ascerta...
This paper develops Deep Neural Network (DNN) models that can recognize stroke gaits. Stroke patient...
Muscle synergies are hypothesized to reflect connections among motoneurons in the spinal cord activa...
Patients with stroke can experience a drastic change in their body representation (BR), beyond the p...
BACKGROUND AND PURPOSE: The degree to which the coronavirus disease 2019 (COVID-19) pandemic has aff...
: Application of the EMG-driven robotic training in everyday therapeutic processes is a modern and i...
BACKGROUND: Neuroscience and neurotechnology are transforming stroke rehabilitation. Robotic devices...
PURPOSE: To identify novel technologies pertinent to the prevention, diagnosis, treatment, and rehab...
BACKGROUND: Recovery of hand function after stroke represents the hardest target for clinicians. Rob...
BACKGROUND: Atrial fibrillation (AF) is associated with substantial morbidity, especially when it go...
Radiomics, quantitative feature extraction from radiological images, can improve disease diagnosis a...