AIMC Topic: Percutaneous Coronary Intervention

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A brief history and clinical use of robotic procedures in the cardiovascular system.

Kardiologia polska Mar 13, 2025
Robotic-assisted percutaneous coronary intervention (r-PCI) exemplifies the advancement of interventional cardiology by integrating robotics to improve procedural control, operator safety, and potentially patient outcomes. This is a brief history of ...
History, 21st Century History, 20th Century Humans Robotics Robotic Surgical Procedures Percutaneous Coronary Intervention
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Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients.

Computers in biology and medicine Mar 5, 2025
Predicting post-Percutaneous Coronary Intervention (PCI) outcomes is crucial for effective patient management and quality improvement in healthcare. However, achieving accurate predictions requires the integration of multimodal clinical data, includi...
Humans Percutaneous Coronary Intervention Aged Neural Networks, Computer Male Electronic Health Records Middle Aged Female Electrocardiography
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Texture-based probability mapping for automatic assessment of myocardial injury in late gadolinium enhancement images after revascularized STEMI.

International journal of cardiology Mar 2, 2025
BACKGROUND: Late Gadolinium-enhancement in cardiac magnetic resonance imaging (LGE-CMR) is the gold standard for assessing myocardial infarction (MI) size. Texture-based probability mapping (TPM) is a novel machine learning-based analysis of LGE imag...
Prospective Studies Female Aged Male Humans Percutaneous Coronary Intervention Gadolinium Proof of Concept Study Magnetic Resonance Imaging, Cine Middle Aged Follow-Up Studies Contrast Media ST Elevation Myocardial Infarction
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Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Feb 21, 2025
BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses mac...
Treatment Outcome Predictive Value of Tests Ultrasonography, Interventional Percutaneous Coronary Intervention Male Middle Aged Severity of Illness Index Observer Variation Automation Coronary Vessels Coronary Artery Disease Prosthesis Design Stents Image Interpretation, Computer-Assisted Humans Machine Learning Retrospective Studies Female Reproducibility of Results Aged
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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...
Machine Learning Female Aged Humans Male Middle Aged Microcirculation ST Elevation Myocardial Infarction Vascular Resistance Percutaneous Coronary Intervention
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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...
Middle Aged Nutrition Assessment Risk Assessment Inflammation Treatment Outcome Humans Decision Trees Neural Networks, Computer Predictive Value of Tests Female Machine Learning Nutritional Status Risk Factors Decision Support Techniques Percutaneous Coronary Intervention Aged Biomarkers Myocardial Infarction Male Inflammation Mediators
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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,...
Coronary Artery Bypass Aged Male Middle Aged Humans Bayes Theorem Taiwan Machine Learning Percutaneous Coronary Intervention Female Coronary Artery Disease Health Expenditures
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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...
Stents Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence Percutaneous Coronary Intervention Humans Algorithms
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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...
Middle Aged ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Retrospective Studies Female Humans Aged Male Machine Learning Algorithms
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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) ...
Coronary Angiography Percutaneous Coronary Intervention Acute Kidney Injury Humans Postoperative Complications Machine Learning Contrast Media Predictive Value of Tests
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