Latest AI and machine learning research in strokes for healthcare professionals.
BACKGROUND: Ischemic stroke (IS) is one of most common causes of disability in adults worldwide. How...
OBJECTIVES: Proximal femur fractures (PFF) are common injuries in elderly patients and can have cons...
OBJECTIVE: The present study aimed to compare the effects of a deep learning-based digital applicati...
A non-invasive optical technique known as photoplethysmography (PPG) can be used to provide various ...
Coral reef atherosclerosis of the paravisceral aorta is a rare disease whose description is confined...
INTRODUCTION: Post-stroke dysphagia is common and associated with significant morbidity and mortalit...
AIMS: We developed new machine learning (ML) models and externally validated existing statistical mo...
OBJECTIVE: Since the efficacy of mechanical thrombectomy (MT) for acute cerebral infarction due to l...
Stroke is the leading long-term disability and causes a significant financial burden associated with...
INTRODUCTION: When time since stroke onset is unknown, DWI-FLAIR mismatch rating is an established t...
MOTIVATION: Acute ischemic stroke is one of the leading causes of morbidity and disability worldwide...
Stroke is accounted as the second-most mortality and adult disability factor in worldwide, while cau...
The segmentation of acute stroke lesions plays a vital role in healthcare by assisting doctors in ma...
Localization of early infarction on first-line Non-contrast computed tomogram (NCCT) guides prompt t...
Impella devices are used for mechanical circulatory support in patients with cardiogenic shock or t...
INTRODUCTION: High-intensity gait training is widely recognized as an effective rehabilitation appro...
INTRODUCTION: Accurate identification of pulmonary arterial hypertension (PAH) in primary care and r...
Ischemic stroke (IS) is a complex neurological disease that can lead to severe disability or even de...
BACKGROUND: Falls are one of the most common accidents in medical institutions, which can threaten t...
In this study, Neural Networks (NN) modelling has emerged as a promising tool for predicting outcome...
In this study, we present a flexible wearable supernumerary robotic limb that helps chronic stroke p...