AIMC Topic: Coronary Artery Disease
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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.
DBCU-Net: deep learning approach for segmentation of coronary angiography images.
The international journal of cardiovascular imaging
Apr 5, 2023
Coronary angiography (CAG) is the "gold standard" for diagnosing coronary artery disease (CAD). However, due to the limitation of current imaging methods, the CAG image has low resolution and poor contrast with a lot of artifacts and noise, which mak...
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 ...
An automated segmentation of coronary artery calcification using deep learning in specific region limitation.
Medical & biological engineering & computing
Mar 4, 2023
Coronary artery calcification (CAC) is a frequent disease of the arteries that supply the surface of the heart muscle. Leaving a severe disease untreated can make it permanent. Computer tomography (CT), which is well known for its ability to quantify...
Automated identification of myocardial perfusion defects in dynamic cardiac computed tomography using deep learning.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Mar 4, 2023
PURPOSE: The purpose of this study was to develop and evaluate deep convolutional neural network (CNN) models for quantifying myocardial blood flow (MBF) as well as for identifying myocardial perfusion defects in dynamic cardiac computed tomography (...
Deep Learning-Based Acceleration of Compressed Sensing for Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease.
Journal of magnetic resonance imaging : JMRI
Feb 27, 2023
BACKGROUND: The clinical application of coronary MR angiography (MRA) remains limited due to its long acquisition time and often unsatisfactory image quality. A compressed sensing artificial intelligence (CSAI) framework was recently introduced to ov...
Mastering the Learning Curve for Robotic-Assisted Coronary Artery Bypass Surgery.
The Annals of thoracic surgery
Feb 26, 2023
BACKGROUND: Previous studies have evaluated the learning curve to achieve competency in robotic-assisted coronary artery bypass grafting (CABG) but have not identified thresholds for mastery. Robotic-assisted CABG is a minimally invasive alternative ...
Editorial for "Deep Learning-Based Acceleration of Compressed Sensing Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease".
Journal of magnetic resonance imaging : JMRI
Feb 21, 2023
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...
Diagnostic performance of deep learning-based vessel extraction and stenosis detection on coronary computed tomography angiography for coronary artery disease: a multi-reader multi-case study.
La Radiologia medica
Feb 17, 2023
BACKGROUND: Post-processing and interpretation of coronary CT angiography (CCTA) imaging are time-consuming and dependent on the reader's experience. An automated deep learning (DL)-based imaging reconstruction and diagnosis system was developed to i...
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