Latest AI and machine learning research in strokes for healthcare professionals.
INTRODUCTION: In elderly patients with cervical spinal cord injury, comorbidities such as cardiovasc...
Stroke poses an immense public health burden and remains among the primary causes of death and disab...
Warfarin remains the most widely prescribed oral anticoagulant in sub-Saharan Africa. However, becau...
This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent ...
Stroke is one of the most common neural disorders, which causes physical disabilities and motor impa...
This work was aimed to explore the role of CT angiography information provided by deep learning algo...
Conditional Random Fields (CRFs) are often used to improve the output of an initial segmentation mod...
Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symp...
BACKGROUND: The death due to stroke is caused by embolism of the arteries which is due to the ruptur...
Abnormal spasticity and associated synergistic patterns are the most common neuromuscular impairment...
To discuss the application method and effect of COPD patients in deep learning in intelligent monito...
Background Conventional prognostic scores usually require predefined clinical variables to predict o...
This study was aimed to explore the magnetic resonance imaging (MRI) image features based on the fuz...
AIMS: We assessed the association of prior antiplatelet therapy (APT) at onset of intracerebral haem...
Laparoscopic pectopexy is an alternative to sacrocolpopexy utilizing fixation points in the anterior...
Atrial septal defect accounts for 10-15% of congenital heart disease cases. Small-diameter atrial se...
INTRODUCTION: Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have ...
Robot-assisted gait training (RAGT) could be a rehabilitation option for patients after experiencin...
Variational autoencoders (VAEs) are influential generative models with rich representation capabilit...
Atrial fibrillation (AF) is a common arrhythmia that can lead to stroke, heart failure, and prematur...
Recently, deep learning approaches for MR motion artifact correction have been extensively studied. ...