Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

3,017 articles
Stay Ahead - Weekly Strokes research updates
Subscribe
Browse Categories
Showing 1639-1659 of 3,017 articles
A pilot study for self-guided, active robotic training of proprioception of the upper limb in chronic stroke.

BACKGROUND: Proprioceptive impairments of the upper limb are common after stroke. These impairments ...

Vision transformer-based stratification of pre/diabetic and pre/hypertensive patients from retinal photographs for 3PM applications.

OBJECTIVE: Diabetes and hypertension pose significant health risks, especially when poorly managed. ...

A Combined-Mode Machine Learning Model for Predicting Stroke Recurrence During Hospitalization in Patients with Acute Minor Ischemic Stroke.

Acute minor ischemic stroke patients often experience recurrence shortly after symptom onset, highli...

Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury.

According to the statistics of relevant data, stroke is a relatively common cerebrovascular disease,...

Development of a deep neural network model for ultra-early neurological deterioration in ischemic stroke and analysis of associated risk factors.

BACKGROUND: In this study, we established a deep neural network (DNN)-based predictive model, aiming...

Myo-Guide: A Machine Learning-Based Web Application for Neuromuscular Disease Diagnosis With MRI.

BACKGROUND: Neuromuscular diseases (NMDs) are rare disorders characterized by progressive muscle fib...

Estimating individualized effectiveness of receiving successful recanalization for ischemic stroke cases using machine learning techniques.

OBJECTIVES: Directly measuring the causal effect of mechanical thrombectomy (MT) for each ischemic s...

Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models.

A recent analysis of common stroke risk prediction models showed that performance differs between Bl...

Machine learning algorithms to predict stroke in China based on causal inference of time series analysis.

IMPORTANCE: Identifying and managing high-risk populations for stroke in a targeted manner is a key ...

Enhanced neuroplasticity and gait recovery in stroke patients: a comparative analysis of active and passive robotic training modes.

BACKGROUND: Stroke is a leading cause of long-term disability, with lower limb dysfunction being a c...

Imaging-based machine learning to evaluate the severity of ischemic stroke in the middle cerebral artery territory.

OBJECTIVES: This study aims to develop an imaging-based machine learning model for evaluating the se...

Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services.

Cardiovascular disease (CVD) is one of the severe disorders that requires effectual solutions. CVD m...

The analysis of motion recognition model for badminton player movements using machine learning.

This study aims to comprehensively analyze and classify the badminton players' swing actions by comb...

Revolutionizing stroke prediction: a systematic review of AI-powered wearable technologies for early detection of stroke.

Wearable technology, combined with artificial intelligence (AI) and machine learning (ML) algorithms...

First nomogram for predicting interstitial lung disease and pulmonary arterial hypertension in SLE: a machine learning approach.

BACKGROUND: Interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) are severe, li...

[Artificial intelligence-based automated assessment of coronary flow reserve from angiography and the impact of different vasodilators].

To explore the feasibility of a coronary angiography-based method developed with artificial intelli...

Browse Categories