AIMC Topic: Acute Coronary Syndrome
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Towards prehospital risk stratification using deep learning for ECG interpretation in suspected acute coronary syndrome.
BMJ health & care informatics
Jun 6, 2025
OBJECTIVES: Most patients presenting with chest pain in the emergency medical services (EMS) setting are suspected of non-ST-elevation acute coronary syndrome (NSTE-ACS). Distinguishing true NSTE-ACS from non-cardiac chest pain based solely on the EC...
Incorporating the STOP-BANG questionnaire improves prediction of cardiovascular events during hospitalization after myocardial infarction.
Scientific reports
May 31, 2025
Obstructive sleep apnea (OSA) may impact outcomes in acute coronary syndrome (ACS) patients. The Global Registry of Acute Coronary Events (GRACE) score assesses cardiovascular risk post-ACS. This study evaluated whether incorporating the STOP-BANG sc...
Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets.
Nature communications
May 15, 2025
Coronary artery disease (CAD) is a leading cause of death globally. Antiplatelet therapy remains crucial in preventing and treating CAD-associated thrombotic complications, but it concurrently amplifies the risk of bleeding. Unfortunately, traditiona...
Machine learning to risk stratify chest pain patients with non-diagnostic electrocardiogram in an Asian emergency department.
Annals of the Academy of Medicine, Singapore
Apr 22, 2025
INTRODUCTION: Elevated troponin, while essential for diagnosing myocardial infarction, can also be present in non-myocardial infarction conditions. The myocardial-ischaemic-injury-index (MI3) algorithm is a machine learning algorithm that considers a...
AI-ECG Supported Decision-Making for Coronary Angiography in Acute Chest Pain: The QCG-AID Study.
Journal of Korean medical science
Mar 31, 2025
This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively...
Machine Learning Applications in Acute Coronary Syndrome: Diagnosis, Outcomes and Management.
Advances in therapy
Dec 6, 2024
Acute coronary syndrome (ACS) is a leading cause of death worldwide. Prompt and accurate diagnosis of acute myocardial infarction (AMI) or ACS is crucial for improved management and prognosis of patients. The rapid growth of machine learning (ML) res...
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 ...
Prospective Studies
Clinical Decision-Making
Female
Reproducibility of Results
Risk Factors
Aged
Male
Middle Aged
Humans
Artificial Intelligence
Decision Support Techniques
Coronary Angiography
Risk Assessment
Radiographic Image Interpretation, Computer-Assisted
Non-ST Elevated Myocardial Infarction
Acute Coronary Syndrome
Predictive Value of Tests
Computed Tomography Angiography
Double-Blind Method
Derivation and external validation of mass spectrometry-based proteomic model using machine learning algorithms to predict plaque rupture in patients with acute coronary syndrome.
Clinica chimica acta; international journal of clinical chemistry
Aug 6, 2024
BACKGROUND: A poor prognosis is associated with atherosclerotic plaque rupture (PR) despite after conventional therapy for patients with acute coronary syndrome (ACS). Timely identification of PR improves the risk stratification and prognosis of ACS ...
Rationale and design of the artificial intelligence scalable solution for acute myocardial infarction (ASSIST) study.
Journal of electrocardiology
Aug 5, 2024
BACKGROUND: Acute coronary syndrome (ACS), specifically ST-segment elevation myocardial infarction is a major cause of morbidity and mortality throughout Europe. Diagnosis in the acute setting is mainly based on clinical symptoms and physician's inte...
Four Genes with Seven Targeted Drugs might be Treatment for Diabetic Nephropathy and Acute Coronary Syndrome.
The Tohoku journal of experimental medicine
Jun 27, 2024
Diabetes nephropathy (DN) is a main risk factor for acute coronary syndrome (ACS), but the molecular mechanism is unknown. This research used bioinformatics approaches to uncover potential molecular mechanisms and drugs for DN and ACS. GSE142153 and ...
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