AIMC Topic: Percutaneous Coronary Intervention
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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.
Urgent Combination of Robotic and MIDCAB Coronary Revascularization in a Morbidly Obese Patient.
Innovations (Philadelphia, Pa.)
Mar 5, 2023
In this article, we focus on the important role of robot-assisted coronary surgery by reporting the successful case of a morbidly obese male (body mass index = 58 kg/m) who presented to our center with severe coronary disease. A 54-year-old morbidly ...
A Nationwide Study of Clinical Outcomes After Robot-Assisted Coronary Artery Bypass Surgery and Hybrid Revascularization in the Netherlands.
Innovations (Philadelphia, Pa.)
Feb 20, 2023
OBJECTIVE: Robot-assisted minimally invasive direct coronary artery bypass (RA-MIDCAB) surgery and hybrid coronary revascularization (HCR) are minimally invasive alternative strategies to conventional coronary artery bypass surgery in patients with i...
Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning.
IEEE journal of translational engineering in health and medicine
Dec 8, 2022
OBJECTIVE: Early revascularization of the occluded coronary artery in patients with ST elevation myocardial infarction (STEMI) has been demonstrated to decrease mortality and morbidity. Currently, physicians rely on features of electrocardiograms (EC...
Deep Learning Segmentation and Reconstruction for CT of Chronic Total Coronary Occlusion.
Radiology
Oct 25, 2022
Background CT imaging of chronic total occlusion (CTO) is useful in guiding revascularization, but manual reconstruction and quantification are time consuming. Purpose To develop and validate a deep learning (DL) model for automated CTO reconstructio...
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