Latest AI and machine learning research in strokes for healthcare professionals.
This pioneering observational study explored the interaction between subacute stroke inpatients and ...
Regaining one's ability to walk is of great importance for neurological patients and is a major goal...
BACKGROUND: The diagnostic performance of biochemical scores and artificial neural network models fo...
Rats have been used extensively as animal models to study physiological and pathological processes i...
Cerebrovascular accident (CVA) or stroke is one of the leading causes of disability and loss of moto...
BACKGROUND: Telemedicine has created access to emergency stroke care for patients in all communities...
A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradi...
Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has ...
This paper presents a new approach to identify the stroke parameters in handwriting movement data un...
Background and Purpose: Prehospital stroke recognition remains suboptimal, with nearly one-third of ...
Stroke is a leading cause of mortality and disability in Uganda, with a prevalence of approximately ...
Background Accurate prediction of 90-day outcomes following ischemic stroke is crucial for optimizin...
Simulated environments enable scalable training data generation for embodied agents, but more data d...
Plant-based cheeses often fail to reproduce the texture of dairy cheese. Closing this gap is slow be...
Context Current guidelines for primary aldosteronism (PA) recommend screening all patients with hype...
Computer vision services delivered through Web interfaces and APIs process textual requests for imag...
Code large language model (Code LLM) assistants generate code from heterogeneous development context...
Ischemic stroke is a leading cause of long term disability worldwide. Although timely reperfusion ca...
An Ischemic stroke is one of the main causes of death and long-term disability around the world. The...
Anticipating how mutations change viral fitness is central to genomic surveillance and vaccine desig...
Long-context failures of RoPE-based language models can arise from RoPE's intrinsic tradeoff between...