AIMC Topic: Percutaneous Coronary Intervention
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Prediction of microvascular obstruction from angio-based microvascular resistance and available clinical data in percutaneous coronary intervention: an explainable machine learning model.
Scientific reports
Jan 24, 2025
Angio-based microvascular resistance (AMR) as a potential alternative to the index of microcirculatory resistance (IMR) and its relationship with microvascular obstruction (MVO) and other cardiac magnetic resonance (CMR) parameters still lacks compre...
Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes.
BMC cardiovascular disorders
Jan 23, 2025
OBJECTIVE: This study aimed to evaluate the predictive performance of inflammatory and nutritional indices for adverse cardiovascular events (ACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) using...
Machine Learning
Decision Support Techniques
Biomarkers
Female
Humans
Neural Networks, Computer
Nutrition Assessment
Risk Assessment
Inflammation
Treatment Outcome
Risk Factors
Aged
Male
Middle Aged
Inflammation Mediators
Nutritional Status
Decision Trees
Predictive Value of Tests
Percutaneous Coronary Intervention
Myocardial Infarction
Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection.
BMC health services research
Jan 20, 2025
Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG), alleviate symptoms and treat myocardial ischemia. Patients with multivessel disease, particularly those undergoing 3-vessel PCI,...
Enhancing percutaneous coronary intervention using TriVOCTNet: a multi-task deep learning model for comprehensive intravascular optical coherence tomography analysis.
Physical and engineering sciences in medicine
Jan 6, 2025
Neointimal coverage and stent apposition, as assessed from intravascular optical coherence tomography (IVOCT) images, are crucial for optimizing percutaneous coronary intervention (PCI). Existing state-of-the-art computer algorithms designed to autom...
Comprehensive prediction of outcomes in patients with ST elevation myocardial infarction (STEMI) using tree-based machine learning algorithms.
Computers in biology and medicine
Nov 22, 2024
ST elevation myocardial infarction (STEMI), a subtype of acute coronary syndrome, is one of the leading causes of morbidity and mortality. Revascularization using primary percutaneous coronary intervention (PPCI) is the gold standard treatment. Despi...
Predictive performance of machine learning models for kidney complications following coronary interventions: a systematic review and meta-analysis.
International urology and nephrology
Oct 31, 2024
BACKGROUND: Acute kidney injury (AKI) and contrast-induced nephropathy (CIN) are common complications following percutaneous coronary intervention (PCI) or coronary angiography (CAG), presenting significant clinical challenges. Machine learning (ML) ...
Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI: The FLASH Trial.
JACC. Cardiovascular interventions
Oct 30, 2024
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor.
Humans
Artificial Intelligence
Prospective Studies
Republic of Korea
Coronary Angiography
Percutaneous Coronary Intervention
Coronary Artery Disease
Stents
Coronary Vessels
Image Interpretation, Computer-Assisted
Automation
Time Factors
Female
Treatment Outcome
Aged
Predictive Value of Tests
Male
Tomography, Optical Coherence
Middle Aged
Predicting Individual Treatment Effects to Determine Duration of Dual Antiplatelet Therapy After Stent Implantation.
Journal of the American Heart Association
Sep 30, 2024
BACKGROUND: After coronary stent implantation, prolonged dual antiplatelet therapy (DAPT) increases bleeding risk, requiring personalization of DAPT duration. The aim of this study was to develop and validate a machine learning model to predict optim...
Development of Clinically Validated Artificial Intelligence Model for Detecting ST-segment Elevation Myocardial Infarction.
Annals of emergency medicine
Jul 26, 2024
STUDY OBJECTIVE: Although the importance of primary percutaneous coronary intervention has been emphasized for ST-segment elevation myocardial infarction (STEMI), the appropriateness of the cardiac catheterization laboratory activation remains subopt...
AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction.
Scientific reports
Jul 17, 2024
Electrocardiogram (ECG) changes after primary percutaneous coronary intervention (PCI) in ST-segment elevation myocardial infarction (STEMI) patients are associated with prognosis. This study investigated the feasibility of predicting left ventricula...
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