Latest AI and machine learning research in strokes for healthcare professionals.
The pandemic of coronavirus disease 2019 (COVID-19) has become a public health emergency of internat...
BACKGROUND: Loss of arm function is common after stroke. Robot-assisted training may improve arm out...
This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes ...
Despite the increasing use of technology, handwriting has remained to date as an efficient means of ...
Recovery after stroke is often incomplete, but rehabilitation training may potentiate recovery by en...
BACKGROUND: Cranial accelerometry is used to detect cerebral vasospasm and concussion. We explored t...
INTRODUCTION: Traditional physiotherapy is currently the best approach to manage patients with inten...
Clinical text classification is an indispensable and extensively studied problem in medical text pro...
Significant hand and upper-limb impairment is common post-stroke. Robotic training can administer a ...
The current knowledge about muscle synergies does not clearly explain how both rehabilitation and br...
Multi-session robot-assisted stroke rehabilitation program requires patients to perform repetitive t...
The scope of this paper is to present a new carotid vessel segmentation algorithm implementing the U...
Brain insults such as cerebral ischemia and intracranial hemorrhage are critical stroke conditions w...
The automated detection of adverse events in medical records might be a cost-effective solution for ...
We report for the first time the integration of ultra-high-pressure liquid chromatography-tandem mas...
Identifying adverse events in clinical documents is demanded in retrospective clinical research and ...
INTRODUCTION: In the vast majority of cases stroke entails long-term limitations in the use of the u...
Artificial Intelligence (AI) consists of setting different technics together aimed at allowing machi...
Our study aimed to confirm the therapeutic effects of using a trunk stabilization training robot (3D...
The adoption of wearables in medicine has rapidly expanded worldwide. New generations of wearables a...
The radiologic community is rapidly integrating a revolution that has not fully entered daily practi...