Latest AI and machine learning research in strokes for healthcare professionals.
INTRODUCTION AND OBJECTIVES: Patients with type 2 diabetes (T2D) and stable coronary artery disease ...
BACKGROUND: Transient ischemic attack (TIA) is known as "small stroke." However, the diagnosis of TI...
Brain network analysis can offer useful information to guide the rehabilitation of post-stroke patie...
BACKGROUND: Patient selection for reperfusion therapies requires significant expertise in neuroimagi...
Gait rehabilitation is a critical factor in functional recovery after a stroke. The aim of this prag...
OBJECTIVE: To investigate the effects of the robot-assisted gait training (RAGT) device plus physiot...
According to statistics, stroke is the second or third leading cause of death and adult disability. ...
This study was aimed at exploring the new management mode of medical information processing and emer...
INTRODUCTION: Apolipoprotein C-III (Apo CIII) is a crucial regulator of triglyceride-rich lipoprotei...
Assessment of ecosystem service supply and demand, as well as the budgets of ecosystem service suppl...
Rehabilitation training and movement evaluation after stroke have become a research hotspot as strok...
Genetic algorithms have a proven capability to explore a large space of solutions, and deal with ver...
Stroke is a common reason for motor disability and is often associated with spasticity and poor mot...
According to the general recognition in the first half of the last century, hypertension was not con...
INTRODUCTION: Stroke is one of the top 10 causes of death worldwide, and more than half of stroke pa...
BACKGROUND: Robot-assisted rehabilitation for patients with stroke is promising. However, it is uncl...
Enlarged perivascular spaces (EPVS), specifically in stroke patients, has been shown to strongly cor...
BACKGROUND: Urinary tract infection (UTI) is one of major nosocomial infections significantly affect...
BACKGROUND: Robot-assisted hand training has shown positive effects on promoting neuromuscular contr...
The study proposes a novel machine learning (ML) paradigm for cardiovascular disease (CVD) detection...
The first ever insurance reimbursement for an artificial intelligence (AI) system, which expedites t...