AIMC Topic: Acute Coronary Syndrome

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Artificial neural networks for ECG interpretation in acute coronary syndrome: A scoping review.

The American journal of emergency medicine Jun 24, 2024
INTRODUCTION: The electrocardiogram (ECG) is a crucial diagnostic tool in the Emergency Department (ED) for assessing patients with Acute Coronary Syndrome (ACS). Despite its widespread use, the ECG has limitations, including low sensitivity of the S...
Neural Networks, Computer Reproducibility of Results Electrocardiography Emergency Service, Hospital Acute Coronary Syndrome Humans
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Classification tree obtained by artificial intelligence for the prediction of heart failure after acute coronary syndromes.

Medicina clinica May 30, 2024
BACKGROUND: Coronary heart disease is the leading cause of heart failure (HF), and tools are needed to identify patients with a higher probability of developing HF after an acute coronary syndrome (ACS). Artificial intelligence (AI) has proven to be ...
Acute Coronary Syndrome Spain Follow-Up Studies Decision Trees Heart Failure Patient Readmission Artificial Intelligence Algorithms Female Risk Factors Aged Male Middle Aged Risk Assessment Humans
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Machine learning models for assessing risk factors affecting health care costs: 12-month exercise-based cardiac rehabilitation.

Frontiers in public health May 28, 2024
INTRODUCTION: Exercise-based cardiac rehabilitation (ECR) has proven to be effective and cost-effective dominant treatment option in health care. However, the contribution of well-known risk factors for prognosis of coronary artery disease (CAD) to p...
Health Care Costs Risk Factors Finland Aged Cardiac Rehabilitation Humans Risk Assessment Male Machine Learning Coronary Artery Disease Middle Aged Female Exercise Therapy Acute Coronary Syndrome
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Machine learning prediction of one-year mortality after percutaneous coronary intervention in acute coronary syndrome patients.

International journal of cardiology May 20, 2024
BACKGROUND: Machine learning (ML) models have the potential to accurately predict outcomes and offer novel insights into inter-variable correlations. In this study, we aimed to design ML models for the prediction of 1-year mortality after percutaneou...
Humans Machine Learning Time Factors Follow-Up Studies Predictive Value of Tests Percutaneous Coronary Intervention Female Aged Male Middle Aged Iran Acute Coronary Syndrome Mortality
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Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging May 15, 2024
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Acute Coronary Syndrome Coronary Vessels Rupture, Spontaneous Multidetector Computed Tomography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Plaque, Atherosclerotic Computed Tomography Angiography Coronary Circulation Risk Factors Aged Male Middle Aged Risk Assessment Artificial Intelligence Humans Prognosis Severity of Illness Index Female Hemodynamics Reproducibility of Results Time Factors
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The use of artificial intelligence for predicting postinfarction myocardial viability in echocardiographic images.

Cardiology journal May 14, 2024
BACKGROUND: Evaluation of standard echocardiographic examination with artificial intelligence may help in the diagnosis of myocardial viability and function recovery after acute coronary syndrome.
Tissue Survival Neural Networks, Computer Myocardial Infarction Artificial Intelligence Aged Female Humans Acute Coronary Syndrome Male Reproducibility of Results Follow-Up Studies Echocardiography, Stress Middle Aged Magnetic Resonance Imaging, Cine Predictive Value of Tests Time Factors Myocardium Percutaneous Coronary Intervention
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Preclinical identification of acute coronary syndrome without high sensitivity troponin assays using machine learning algorithms.

Scientific reports Apr 29, 2024
Preclinical management of patients with acute chest pain and their identification as candidates for urgent coronary revascularization without the use of high sensitivity troponin essays remains a critical challenge in emergency medicine. We enrolled ...
Troponin Chest Pain Acute Coronary Syndrome Middle Aged ROC Curve Humans Electrocardiography Machine Learning Emergency Service, Hospital Aged Algorithms Aged, 80 and over Male Biomarkers Female
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Validation of an automated artificial intelligence system for 12‑lead ECG interpretation.

Journal of electrocardiology Dec 23, 2023
BACKGROUND: The electrocardiogram (ECG) is one of the most accessible and comprehensive diagnostic tools used to assess cardiac patients at the first point of contact. Despite advances in computerized interpretation of the electrocardiogram (CIE), it...
Neural Networks, Computer Artificial Intelligence Electrocardiography Benchmarking Humans Acute Coronary Syndrome
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Diagnostic Test Accuracy of artificial intelligence-assisted detection of acute coronary syndrome: A systematic review and meta-analysis.

Computers in biology and medicine Oct 25, 2023
BACKGROUND: Artificial intelligence (AI) has potential uses in healthcare including the detection of health conditions and prediction of health outcomes. Past systematic reviews had reviewed the accuracy of artificial neural networks (ANN) on Electro...
ROC Curve Humans Aged Diagnostic Tests, Routine Artificial Intelligence Adult Sensitivity and Specificity Acute Coronary Syndrome Middle Aged
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Deep Learning Analysis of Chest Radiographs to Triage Patients with Acute Chest Pain Syndrome.

Radiology Jan 17, 2023
Background Patients presenting to the emergency department (ED) with acute chest pain (ACP) syndrome undergo additional testing to exclude acute coronary syndrome (ACS), pulmonary embolism (PE), or aortic dissection (AD), often yielding negative resu...
Chest Pain Acute Coronary Syndrome Middle Aged Humans Deep Learning Retrospective Studies Triage Female Radiography Male
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