Cardiovascular

Strokes

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

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Using deep learning to shorten the acquisition time of brain MRI in acute ischemic stroke: Synthetic T2W images generated from b0 images.

OBJECTIVE: This study aimed to assess the feasibility of the deep learning in generating T2 weighted...

Effectiveness of robot-assisted task-oriented training intervention for upper limb and daily living skills in stroke patients: A meta-analysis.

PURPOSE: Stroke is one of the leading causes of acquired disability in adults in high-income countri...

Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension.

OBJECTIVE: Congenital heart disease with pulmonary arterial hypertension (CHD-PAH), caused by CHD, i...

Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence.

BACKGROUND: Predicting treated language improvement (TLI) and transfer to the untreated language (cr...

Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation.

Carotid plaques-the buildup of cholesterol, calcium, cellular debris, and fibrous tissues in carotid...

Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.

Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythe...

Deciphering Necroptosis-Associated Molecular Subtypes in Acute Ischemic Stroke Through Bioinformatics and Machine Learning Analysis.

Acute ischemic stroke (AIS) is a severe disorder characterized by complex pathophysiological process...

Research on multi-label recognition of tongue features in stroke patients based on deep learning.

Stroke has become the leading cause of disability in adults worldwide. Early precise rehabilitation ...

Deep-learning-based extraction of circle of Willis topology with anatomical priors.

The circle of Willis (CoW) is a circular arrangement of arteries in the human brain, exhibiting sign...

Web application using machine learning to predict cardiovascular disease and hypertension in mine workers.

This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (...

Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models.

Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like p...

Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning.

Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke...

Development of a Self-Deploying Extra-Aortic Compression Device for Medium-Term Hemodynamic Stabilization: A Feasibility Study.

Hemodynamic stabilization is crucial in managing acute cardiac events, where compromised blood flow ...

Predicting the likelihood of readmission in patients with ischemic stroke: An explainable machine learning approach using common data model data.

BACKGROUND: Ischemic stroke affects 15 million people worldwide, causing five million deaths annuall...

Development of Machine-learning Model to Predict Anticoagulant Use and Type in Geriatric Traumatic Brain Injury Using Coagulation Parameters.

This study aimed to investigate the patterns of anticoagulation therapy and coagulation parameters a...

Effect of artificial intelligence-based video-game system on dysphagia in patients with stroke: A randomized controlled trial.

BACKGROUND AND AIMS: Post-stroke dysphagia is highly prevalent and causes complication. While video ...

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