Latest AI and machine learning research in strokes for healthcare professionals.
We present a case of a patient with factor V Leiden with an antithrombin III activity of 67% who rec...
Stroke is the leading cause of permanent disability in developed countries; its effects may include ...
The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis i...
OBJECTIVE: To assess brush sign (BS) on susceptibility-weighted imaging (SWI) in prediction of hemor...
Stroke, as a major risk factor for chronic impairment of upper limb function, can severely restrict ...
Although gait abnormality is one of the most disabling events following stroke, cognitive, and psych...
A common motor deficit in individuals post-stroke is altered interlimb coupling. Efforts at one extr...
BACKGROUND: Right atrium volume index has recently been described as a quantitative and highly repro...
BACKGROUND AND PURPOSE: Cardiovascular fitness is greatly reduced after stroke. Although individuals...
BACKGROUND: Relationships between various climate factors and stroke have long been a subject of inv...
One post-stroke patient underwent neuro-motor rehabilitation of one upper limb with a novel system c...
The development of EMG based controllers for automated gait orthosis is a promising intervention for...
PURPOSE: Preliminary evidence has shown no additional effects of transcranial direct current stimula...
Wearable robotic devices provide safe and intensive rehabilitation, enabling repeated motions for mo...
OBJECTIVE: The aim of this study was to determine the effects of home-based robot-assisted rehabilit...
PURPOSE: Upper limb robot-assisted rehabilitation is a highly intensive therapy, mainly recommended ...
An improved Adaptive Neuro-Fuzzy Inference System (ANFIS) in the field of critical cardiovascular di...
We describe a case of a middle-aged Caucasian pilot who presented to us with a painless left Horner'...