AIMC Topic: Non-ST Elevated Myocardial Infarction

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Inflammation-related 5-hydroxymethylation signatures as markers for clinical presentations of coronary artery disease.

Cardiovascular diabetology Jun 23, 2025
BACKGROUND: Coronary angiography remains the gold standard for diagnosing coronary artery disease (CAD), but its invasive nature limits its applicability for widespread screening. Identifying non-invasive molecular markers could improve CAD classific...
Male Middle Aged Risk Assessment Severity of Illness Index Epigenesis, Genetic Prognosis Female Reproducibility of Results Aged Predictive Value of Tests ST Elevation Myocardial Infarction Inflammation Coronary Artery Disease DNA Methylation Inflammation Mediators Humans Cell-Free Nucleic Acids 5-Methylcytosine Machine Learning Non-ST Elevated Myocardial Infarction Biomarkers
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Predicting prolonged length of in-hospital stay in patients with non-ST elevation myocardial infarction (NSTEMI) using artificial intelligence.

International journal of cardiology Apr 11, 2025
BACKGROUND: Patients presenting with non-ST elevation myocardial infarction (NSTEMI) are typically evaluated using coronary angiography and managed through coronary revascularization. Numerous studies have demonstrated the benefits of expedited disch...
Middle Aged Length of Stay Cohort Studies Non-ST Elevated Myocardial Infarction Predictive Value of Tests Percutaneous Coronary Intervention Retrospective Studies Female Aged Male Humans Artificial Intelligence Machine Learning
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The Evolving Paradigm of Myocardial Infarction in the Era of Artificial Intelligence.

British journal of hospital medicine (London, England : 2005) Feb 23, 2025
The classification and treatment of myocardial infarction (MI) have evolved significantly over the past few decades, with the ST-segment elevation myocardial infarction (STEMI)/non-STEMI (NSTEMI) paradigm dominating clinical practice. While STEMI, id...
Artificial Intelligence Echocardiography Electrocardiography Non-ST Elevated Myocardial Infarction ST Elevation Myocardial Infarction Humans Myocardial Infarction
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Mortality prediction of inpatients with NSTEMI in a premier hospital in China based on stacking model.

PloS one Dec 31, 2024
BACKGROUND: Acute myocardial infarction (AMI) remains a leading cause of hospitalization and death in China. Accurate mortality prediction of inpatient is crucial for clinical decision-making of non-ST-segment elevation myocardial infarction (NSTEMI)...
Hospital Mortality Aged Inpatients Logistic Models Humans Decision Trees Male Support Vector Machine Algorithms Middle Aged Non-ST Elevated Myocardial Infarction Female China Hospitalization
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Machine learning algorithms using the inflammatory prognostic index for contrast-induced nephropathy in NSTEMI patients.

Biomarkers in medicine Nov 13, 2024
Inflammatory prognostic index (IPI), has been shown to be related with poor outcomes in cancer patients. We aimed to investigate the predictive role of IPI for contrast-induced nephropathy (CIN) development in non-ST segment elevation myocardial inf...
Male Middle Aged Inflammation Nomograms Kidney Diseases Machine Learning Contrast Media Prognosis Humans Algorithms Non-ST Elevated Myocardial Infarction Female Aged
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Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.

The international journal of cardiovascular imaging Nov 8, 2024
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based ...
Risk Assessment Non-ST Elevated Myocardial Infarction Predictive Value of Tests Double-Blind Method Coronary Angiography Risk Factors Aged Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Acute Coronary Syndrome Computed Tomography Angiography Humans Artificial Intelligence Clinical Decision-Making Female Reproducibility of Results Decision Support Techniques Prospective Studies
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Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention.

Scientific reports Jun 11, 2024
To investigate the factors that influence readmissions in patients with acute non-ST elevation myocardial infarction (NSTEMI) after percutaneous coronary intervention (PCI) by using multiple machine learning (ML) methods to establish a predictive mod...
Percutaneous Coronary Intervention Patient Readmission Middle Aged Risk Assessment ROC Curve Humans Female Non-ST Elevated Myocardial Infarction Machine Learning Risk Factors Aged Male
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Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients.

Scientific reports Nov 15, 2022
Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settings, deep learning-based models and especially convolutional deep models have shown promise in electrocardiogram (ECG) classification, but there is a l...
Deep Learning Electrocardiography Non-ST Elevated Myocardial Infarction Humans Retrospective Studies Emergency Service, Hospital ST Elevation Myocardial Infarction Myocardial Infarction
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Distribution Characteristics of ST-Segment Elevation Myocardial Infarction and Non-ST-Segment Elevation Myocardial Infarction Culprit Lesion in Acute Myocardial Infarction Patients Based on Coronary Angiography Diagnosis.

Computational and mathematical methods in medicine Feb 2, 2022
This research was aimed at exploring the application value of coronary angiography (CAG) based on a convolutional neural network algorithm in analyzing the distribution characteristics of ST-segment elevation myocardial infarction (STEMI) and non-ST-...
Myocardial Infarction Algorithms Non-ST Elevated Myocardial Infarction Early Diagnosis Female Male Diagnosis, Differential Coronary Vessels Aged Humans ST Elevation Myocardial Infarction Middle Aged Angiography, Digital Subtraction Neural Networks, Computer Aged, 80 and over Coronary Angiography Computational Biology Adult Electrocardiography
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Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction.

Scientific reports Jun 18, 2021
Machine learning (ML) has been suggested to improve the performance of prediction models. Nevertheless, research on predicting the risk in patients with acute myocardial infarction (AMI) has been limited and showed inconsistency in the performance of...
Time Factors Hospital Mortality ROC Curve Models, Theoretical Risk Factors Aged Humans Middle Aged Non-ST Elevated Myocardial Infarction Machine Learning Risk Assessment Area Under Curve Reproducibility of Results
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