Latest AI and machine learning research in strokes for healthcare professionals.
OBJECTIVES: Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25 %...
PRCIS: We developed unsupervised machine learning models to identify different subtypes of patients ...
Stroke is a leading cause of disability, and Magnetic Resonance Imaging (MRI) is routinely acquired ...
We conducted a multicenter and retrospective study to describe the use of botulinum toxin type A (Bo...
Stroke is a severe medical condition which may lead to permanent disability conditions. The initial ...
Multidisciplinary pulmonary embolism response teams (PERTs) have shown that timely triage expedites ...
OBJECTIVES: The Alberta Stroke Program Early CT Score (ASPECTS), a systematic method for assessing i...
This study aimed to apply machine learning (ML) techniques to develop and validate a risk prediction...
As an integral aspect of health care, digital technology has enabled modelling of complex relationsh...
BACKGROUND AND PURPOSE: Early and reliable prediction of hemorrhagic transformation (HT) in patients...
BACKGROUND: Atrial fibrillation (AF) is highly correlated with heart failure, stroke and death. Scre...
BACKGROUND AND PURPOSE: Recurrent ischemic stroke (RIS) induces additional functional limitations in...
OBJECTIVE: To establish a machine learning model based on radiomics and clinical features derived fr...
Recent breakthroughs in artificial intelligence (AI) have caught the attention of many fields, inclu...
Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney dis...
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, ...
BACKGROUND: Atrial fibrillation and atrial flutter represent the most prevalent clinically significa...
PURPOSE OF REVIEW: Pulmonary hypertension is a heterogeneous condition with significant morbidity an...
BACKGROUND: Pediatric stroke is an important cause of morbidity in children. Although research can b...
The rapid development of large language models (LLMs) motivates us to explore how such state-of-the-...
BACKGROUND: Body weight unloaded treadmill training has shown limited efficacy in further improving ...