AIMC Topic: Percutaneous Coronary Intervention
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Real-time coronary artery segmentation in CAG images: A semi-supervised deep learning strategy.
Artificial intelligence in medicine
May 9, 2024
BACKGROUND: When treating patients with coronary artery disease and concurrent renal concerns, we often encounter a conundrum: how to achieve a clearer view of vascular details while minimizing the contrast and radiation doses during percutaneous cor...
1-Year Mortality Prediction through Artificial Intelligence Using Hemodynamic Trace Analysis among Patients with ST Elevation Myocardial Infarction.
Medicina (Kaunas, Lithuania)
Mar 29, 2024
: Patients presenting with ST Elevation Myocardial Infarction (STEMI) due to occlusive coronary arteries remain at a higher risk of excess morbidity and mortality despite being treated with primary percutaneous coronary intervention (PPCI). Identifyi...
Design and hierarchical analysis of magnetic actuated robot: A governing equation based approach.
Computers in biology and medicine
Feb 21, 2024
As the alternative solution to the conventional guidewire, the magnetic robot can help interventionists perform percutaneous coronary intervention (PCI) because magnetic fields are transparent and safe for biological tissues. Despite extensive resear...
Advancements in artificial intelligence-driven techniques for interventional cardiology.
Cardiology journal
Jan 22, 2024
This paper aims to thoroughly discuss the impact of artificial intelligence (AI) on clinical practice in interventional cardiology (IC) with special recognition of its most recent advancements. Thus, recent years have been exceptionally abundant in a...
A physics-informed deep learning framework for modeling of coronary in-stent restenosis.
Biomechanics and modeling in mechanobiology
Jan 18, 2024
Machine learning (ML) techniques have shown great potential in cardiovascular surgery, including real-time stenosis recognition, detection of stented coronary anomalies, and prediction of in-stent restenosis (ISR). However, estimating neointima evolu...
Incidence, Determinants, and Outcome of Contrast-induced Acute Kidney Injury following Percutaneous Coronary Intervention at a Tertiary Care Hospital.
Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia
Jan 17, 2024
Contrast-induced acute kidney injury (CI-AKI) after percutaneous coronary intervention (PCI) is the common cause of in-hospital acquired AKI and is associated with in-hospital mortality and prolonged hospital stay. We studied the incidence of CI-AKI ...
Machine Learning-Based Predictive Model of Aortic Valve Replacement Modality Selection in Severe Aortic Stenosis Patients.
Medical sciences (Basel, Switzerland)
Dec 29, 2023
The current recommendation for bioprosthetic valve replacement in severe aortic stenosis (AS) is either surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement (TAVR). We evaluated the performance of a machine learning-base...
Learning Skill Characteristics From Manipulations.
IEEE transactions on neural networks and learning systems
Nov 30, 2023
Percutaneous coronary intervention (PCI) has increasingly become the main treatment for coronary artery disease. The procedure requires high experienced skills and dexterous manipulations. However, there are few techniques to model PCI skill so far. ...
Enhancing percutaneous coronary intervention with heuristic path planning and deep-learning-based vascular segmentation.
Computers in biology and medicine
Oct 4, 2023
Percutaneous coronary intervention (PCI) is a minimally invasive technique for treating vascular diseases. PCI requires precise and real-time visualization and guidance to ensure surgical safety and efficiency. Existing mainstream guiding methods rel...
Robotic percutaneous coronary intervention (R-PCI): Time to focus on the pros and cons.
Indian heart journal
Apr 18, 2023
AIM: To assess the safety, efficiency, and device compatibility of the Second Generation Robotic System.
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