Cardiovascular

Acute Coronary Syndrome

Latest AI and machine learning research in acute coronary syndrome for healthcare professionals.

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Showing 190-210 of 6,674 articles
CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.

BACKGROUND AND PURPOSE: COVID-19, which emerged in Wuhan (China), is one of the deadliest and fastes...

Deep Learning Algorithm Enables Cerebral Venous Thrombosis Detection With Routine Brain Magnetic Resonance Imaging.

BACKGROUND: Cerebral venous thrombosis (CVT) is a rare cerebrovascular disease. Routine brain magnet...

Deep learning-based classification of adequate sonographic images for self-diagnosing deep vein thrombosis.

BACKGROUND: Pulmonary thromboembolism is a serious disease that often occurs in disaster victims eva...

Deep learning augmented ECG analysis to identify biomarker-defined myocardial injury.

Chest pain is a common clinical complaint for which myocardial injury is the primary concern and is ...

Deep Learning Analysis of Chest Radiographs to Triage Patients with Acute Chest Pain Syndrome.

Background Patients presenting to the emergency department (ED) with acute chest pain (ACP) syndrome...

Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning.

OBJECTIVE: Early revascularization of the occluded coronary artery in patients with ST elevation myo...

Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients.

Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settin...

How do I/we forecast tomorrow's transfusion? A focus on recipients' profiles.

Red blood cell (RBC) transfusion is a life-saving medical intervention and has an essential role in ...

A machine learning approach to predicting early and late postoperative reintubation.

Accurate estimation of surgical risks is important for informing the process of shared decision maki...

Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction.

Feasibility of automated volume-derived cardiac functional evaluation has successfully been demonstr...

Application of deep neural network and gamma-ray scattering in eccentric scale calculation regardless of the fluids volume fraction inside a pipeline.

Scale formation is one of the major problems in the oil industry as it can accumulate on the surface...

Intelligent and novel multi-type cancer prediction model using optimized ensemble learning.

Cancer is known to be highly severe disease and gets incurable even when the treatment has started a...

RETRACTED: Chemistry-Informed Neural Networks modelling of lignocellulosic biomass pyrolysis.

This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevi...

Machine learning model prediction of 6-month functional outcome in elderly patients with intracerebral hemorrhage.

Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderl...

Exploiting exercise electrocardiography to improve early diagnosis of atrial fibrillation with deep learning neural networks.

Atrial fibrillation (AF) is the most common type of sustained arrhythmia. It results from abnormal i...

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