Latest AI and machine learning research in strokes for healthcare professionals.
BACKGROUND: Artificial intelligence (AI)-enabled sinus rhythm (SR) electrocardiogram (ECG) interpret...
BACKGROUND: Early diagnosis of atrial fibrillation (AF) is important for preventing stroke and other...
This study aimed to assess the effects of thienopyridine-class antiplatelet agents (including ticlop...
Digital surgery technologies, such as interventional robotics and sensor systems, not only improve p...
Acute ischemic stroke (AIS) is a leading global cause of mortality and morbidity. Improving long-ter...
PURPOSE: Clinical risk scores are essential for predicting outcomes in stroke patients. The advancem...
BACKGROUND AND PURPOSE: We aimed to predict the functional outcome of acute ischemic stroke patients...
Stroke survivors with hemiparesis require extensive home-based rehabilitation. Deep learning-based c...
Stroke is a global health concern causing significant mortality. Survivors face physical, cognitive,...
BACKGROUND: Stroke is a prevalent disease with a significant global impact. Effective assessment of ...
BACKGROUND: Pulmonary arterial hypertension is a serious medical condition. However, the condition i...
PURPOSE: To develop a highly efficient and fully automated method that measures retinal vessel calib...
OBJECTIVES: This study aims to demonstrate the capacity of natural language processing and topic mod...
PURPOSE: The previous studies that examined the effectiveness of unsupervised machine learning metho...
This study investigates whether simultaneous high-definition transcranial direct current stimulation...
The death of brain cells occurs when blood flow to a particular area of the brain is abruptly cut of...
Real-world registries have been critical to building the scientific knowledge of rare diseases, incl...
OBJECTIVES: To evaluate the effectiveness of robot-assisted therapy (RAT) followed by activities of ...
BACKGROUND/AIM: Efficient discharge for stroke patients is crucial but challenging. The study aimed ...
Imaging flow cytometry is an attractive method to investigate individual cells by optical properties...
BACKGROUND: Artificial intelligence (AI) has become a promising tool in medicine. ChatGPT, a large l...