Latest AI and machine learning research in strokes for healthcare professionals.
Hypertension is a global health concern with a vast body of unstructured data, such as clinical note...
This study endeavors to construct a machine learning model to forecast in-hospital mortality and dis...
Coronary artery disease (CAD) is a leading cause of mortality, with stroke being a major complicatio...
Thrombotic Antiphospholipid Syndrome (TAPS) is an autoimmune disorder associated with a high risk of...
Pulmonary hypertension (PH) is a severe and progressive vascular disease for which early diagnosis a...
Brazil has the highest stroke rates in Latin America. The aim of this study was to investigate the p...
Intraplaque haemorrhage (IPH) represents a critical feature of plaque vulnerability as it is robustl...
Heart Failure (HF) and Hypertension (HTN) are common yet severe cardiovascular conditions, both of w...
Stroke is a leading cause of death and disability. The subsequent dysfunctions relate to brain lesio...
Functional outcomes after stroke are commonly assessed via modified Rankin Scale (mRS). However, mRS...
Respiratory infections are a leading cause of pediatric emergency visits globally, requiring timely ...
Hypertension (HTN) is a major contributor to cardiovascular (CV) morbidity and mortality. Its hetero...
Objective: (1) develop and test a novel, open-source, supervised machine learning model to detect to...
Hypertension is a leading global health concern, significantly contributing to cardiovascular, cereb...
Carotid stenosis, which is atherosclerotic narrowing of the extracranial carotid arteries, is an imp...
An accurate, robust, clinically accessible, and explainable predictive model for post-stroke composi...
Allostatic load refers to the cumulative burden of stress and life events that involve the interacti...
Predicting long-term functional outcomes for individuals with stroke is a significant challenge. Sol...
Hypertension is a major risk factor for cardiovascular diseases. This study proposes a novel hyperte...
Target Trial Emulation (TTE) has emerged as a rigorous framework for causal inference using observat...
Post-stroke aphasia is a major contributor to language impairment and neuro-disability worldwide, ma...