Latest AI and machine learning research in strokes for healthcare professionals.
INTRODUCTION: Ischemic stroke greatly threatens human life and health. Neuro-restoration is consider...
OBJECTIVES: This study evaluated an automated deep learning method for detecting calcifications in t...
BACKGROUND AND OBJECTIVE: Early identification of post-stroke cognitive impairment (PSCI) is an impo...
BACKGROUND: The recurrence rate of strokes associated with atrial fibrillation (AF) can be substanti...
Emergency neuroradiology provides rapid diagnostic decision-making and guidance for management for a...
OBJECTIVES: Similarities between acute ischemic and hemorrhagic stroke make diagnosis and triage cha...
BACKGROUND: Acute ischemic stroke (AIS) is a major cause of morbidity and mortality, with hemorrhagi...
BACKGROUND: Although oral anticoagulation decreases the risk of thromboembolism in patients with atr...
BACKGROUND: Rapid diagnosis of stroke and its subtypes is critical in early stages. We aimed to disc...
Stroke is a leading cause of morbidity and mortality worldwide, and early detection of risk factors ...
PURPOSE: To develop an end-to-end DL model for automated classification of affected territory in DWI...
BACKGROUND AND PURPOSE: To date, only a few small studies have attempted deep learning-based automat...
BACKGROUND: The effect of renal impairment in patients who receive intravenous thrombolysis for acut...
Atrial fibrillation (AF) is a complex condition caused by various underlying pathophysiological diso...
BACKGROUND: Interest is emerging regarding the role of blood biomarkers in acute stroke. The aim of ...
BACKGROUND: Atrial Fibrillation (AF) is the most common form of arrhythmia in the world with a preva...
Early recognition of risk factors for prolonged mechanical ventilation (PMV) could allow for early c...
The global prevalence of hypertension continues excessively elevated, especially among low- and midd...
OBJECTIVE: To explore the performance of deep learning-based segmentation of infarcted lesions in th...
Quantitative infarct estimation is crucial for diagnosis, treatment and prognosis in acute ischemic ...
OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approac...