Cardiovascular

Strokes

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

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Ultrafast Brain MRI with Deep Learning Reconstruction for Suspected Acute Ischemic Stroke.

Background Deep learning (DL)-accelerated MRI can substantially reduce examination times. However, s...

Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing.

According to the World Stroke Organization, 12.2 million people world-wide will have their first str...

Efficacy of Intraoperative Cell Salvage on Perioperative Blood Transfusion in Pelvic and Acetabular Surgery: A Matched Cohort Analysis.

BACKGROUND: Pelvic fractures often result in traumatic and intraoperative blood loss. Cell salvage (...

Optimization of Radiology Diagnostic Services for Patients with Stroke in Multidisciplinary Hospitals.

BACKGROUND: Effective radiology diagnostic services are crucial for the timely and precise diagnosis...

PSAA-nnUNet: An Efficient Method for CT Carotid Artery Image Segmentation.

Carotid artery (CA) stenosis (CAS) constitutes a significant factor to ischaemic cerebrovascular eve...

Clinical machine learning predicting best stroke rehabilitation responders to exoskeletal robotic gait rehabilitation.

BACKGROUND: Although clinical machine learning (ML) algorithms offer promising potential in forecast...

Effects of robot-assisted walking training on balance, motor function, and ADL depending on severity levels in stroke patients.

BACKGROUND: Despite the explosive increase in interest regarding Robot-Assisted Walking Training (RA...

A Video-based Automated Tracking and Analysis System of Plaque Burden in Carotid Artery Using Deep Learning: A Comparison with Senior Sonographers.

BACKGROUND AND OBJECTIVE: The incidence of stroke is rising, and it is the second major cause of mor...

Implementation of a robot-mediated upper limb rehabilitation protocol for a customized treatment after stroke: A retrospective analysis.

BACKGROUND: Many authors have emphasized the need for individualized treatments in rehabilitation, b...

Examining different cost ratio frameworks for decision rule machine learning algorithms in diagnostic application.

BACKGROUND: Artificial Intelligence (AI) plays a pivotal role in the diagnosis of health conditions ...

Effect of acupuncture combined with lower limb gait rehabilitation robot on improving walking function in stroke patients with hemiplegia.

BACKGROUND: No study has yet demonstrated the effect of lower limb gait rehabilitation robot treatme...

FDA Review of Radiologic AI Algorithms: Process and Challenges.

A Food and Drug Administration (FDA)-cleared artificial intelligence (AI) algorithm misdiagnosed a f...

A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke.

BACKGROUND: Alberta stroke program early CT score (ASPECTS) is a semi-quantitative evaluation method...

HTNpedia: A Knowledge Base for Hypertension Research.

BACKGROUND: Hypertension is notably a serious public health concern due to its high prevalence and s...

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