Latest AI and machine learning research in strokes for healthcare professionals.
Enlarged perivascular spaces (PVS) visible in brain magnetic resonance imaging (MRI) are increasingl...
Discourse analysis can reliably predict real-world communicative success, yet is rarely implemented ...
Pathological assessment relies on recognizing fine-grained visual details in histological images. Vi...
Transformers process tokens without any inherent notion of order, making positional encoding a funda...
A key challenge in medical image analysis is the scarcity of large annotated datasets for specific p...
Background The nonfluent/agrammatic (nfv) and logopenic (lv) variants of primary progressive aphasia...
Conventional bibliometrics rely on lifetime citations, obscuring immediate shifts in cardiovascular ...
Objectives: Quantitative assessment of infarct hypodensity on non-contrast computed tomography (NCCT...
Background: Hypertension is the most important modifiable cardiovascular risk factor worldwide, and ...
Objectives: Quantitative assessment of infarct hypodensity on non-contrast computed tomography (NCCT...
Stroke remains one of the leading causes of disability and mortality worldwide, where timely and acc...
Finger-specific motor intent is a clinically meaningful control signal for post-stroke neurorehabili...
Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with increased risk...
Semantic and goal-oriented communication is increasingly studied for 6G, but generalization beyond s...
Objectives: Dentists prescribe approximately one in ten antibiotics worldwide, yet antimicrobial ste...
Handwriting trajectory recovery aims to infer the dynamic writing process hidden behind a static han...
Motor imagery (MI) electroencephalography (EEG) decoding could support post-stroke rehabilitation, b...
Stroke remains a leading cause of mortality and long-term disability worldwide, yet rapid diagnosis ...
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and a major cause of cardio...
Recent offline reinforcement learning (RL) studies report policies that outperform physician decisio...
Accurate stroke lesion segmentation is essential for large-scale neuroimaging studies, yet manual de...