Latest AI and machine learning research in strokes for healthcare professionals.
Highly accelerated real-time cine MRI using compressed sensing (CS) is a promising approach to achie...
Gene-gene interaction (G × G) is thought to fill the gap between the estimated heritability of compl...
OBJECTIVE: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease which leads to progres...
BACKGROUND AND OBJECTIVE: In recent years, deep learning algorithms have created a massive impact on...
The identification and treatment of patients with stroke is becoming increasingly complex as more tr...
BACKGROUND: Hand function is often impaired after stroke, strongly affecting the ability to perform ...
BACKGROUND: Robot assisted upper limb (UL) therapy has been identified as an intervention with the p...
In recent years, robotic training has been utilized for recovery of motor control in patients with ...
BACKGROUND: Rehabilitation robots integrated with brain-machine interaction (BMI) can facilitate str...
BACKGROUND AND OBJECTIVE: Currently, it is challenging to detect acute ischemic stroke (AIS)-related...
BACKGROUND: A novel disease poses special challenges for informatics solutions. Biomedical informati...
BACKGROUND AND PURPOSE: One-fifth of ischemic strokes are embolic strokes of undetermined source (ES...
OBJECTIVE: Multi-frequency symmetry difference electrical impedance tomography (MFSD-EIT) can robust...
The effects of caregiver burden during the inpatient rehabilitation period have not yet been investi...
PURPOSE: There is limited evidence of gait training using newly developed exoskeletal lower limb rob...
In the last forty years, the field of medicine has experienced dramatic shifts in technology-enhance...
Post-stroke discharge planning may be aided by accurate early prognostication. Machine learning may ...
BACKGROUND: Identification of systolic heart failure among patients presenting to the emergency depa...
BACKGROUND: Although the Gait Exercise Assist Robot (GEAR) has been reported to effectively improve ...
Machine Learning (ML) delivers an accurate and quick prediction outcome and it has become a powerful...
BACKGROUND: To date, the missed diagnosis rate of pulmonary hypertension (PH) was high, and there ha...