AIMC Topic: Coronary Artery Bypass

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Evaluation of the learning curve for robotic coronary artery bypass surgery.

Journal of cardiac surgery Nov 24, 2021
Robotics Robotic Surgical Procedures Coronary Artery Bypass Learning Curve Humans Endoscopy Treatment Outcome
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Machine Learning to Predict Outcomes and Cost by Phase of Care After Coronary Artery Bypass Grafting.

The Annals of thoracic surgery Sep 25, 2021
BACKGROUND: Machine learning may enhance prediction of outcomes after coronary artery bypass grafting (CABG). We sought to develop and validate a dynamic machine learning model to predict CABG outcomes at clinically relevant pre- and postoperative ti...
Risk Factors Risk Assessment Patient Readmission Coronary Artery Bypass Humans Machine Learning Algorithms
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The learning curve of robotic coronary arterial bypass surgery: A report from the STS database.

Journal of cardiac surgery Aug 30, 2021
Treatment Outcome Robotics Robotic Surgical Procedures Coronary Artery Disease Coronary Artery Bypass Arteries Learning Curve Humans
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Outcomes of robotic coronary artery bypass versus nonrobotic coronary artery bypass.

Journal of cardiac surgery Jun 6, 2021
BACKGROUND: Robotic coronary artery bypass graft (CABG) has developed in recent decades, however, prior studies showed conflicting result of robotic CABG compared to nonrobotic CABG in terms of mortality, morbidity, and cost. Herein, we sought to ana...
Humans Retrospective Studies Adult Length of Stay Robotic Surgical Procedures Coronary Artery Disease Coronary Artery Bypass United States Treatment Outcome Robotics
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Commentary: When will the robots come marching in?

Journal of cardiac surgery Jun 6, 2021
Minimally invasive techniques for coronary artery bypass grafting (CABG), specifically robotic-assisted CABG has increased in popularity despite conflicting evidence. Here, we review a report by Yokoyama and colleagues to the Journal of Cardiac Surge...
Humans Coronary Artery Disease Cardiac Surgical Procedures Coronary Artery Bypass Treatment Outcome Robotics Minimally Invasive Surgical Procedures
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The Use of Artificial Neural Networks to Determine In-Hospital Mortality After Coronary Artery Bypass Surgery.

Journal of cardiothoracic and vascular anesthesia Apr 1, 2021
OBJECTIVES: The aim of this study was to present an artificial neural network (ANN) model for the accurate estimation of in-hospital mortality and to demonstrate the validity of the model with real data and a comparison with conventional multiple lin...
Middle Aged Hospital Mortality Coronary Artery Bypass Humans Neural Networks, Computer Retrospective Studies Female Risk Factors Aged Male
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Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning.

The Journal of surgical research Mar 27, 2021
BACKGROUND: There is a growing need to identify which bits of information are most valuable for healthcare providers. The aim of this study was to search for the highest impact variables in predicting postsurgery length of stay (LOS) for patients who...
Linear Models Male Preoperative Period Middle Aged Coronary Artery Bypass Postoperative Complications Databases, Factual Risk Assessment Intraoperative Care Predictive Value of Tests Length of Stay Female Humans Coronary Artery Disease Blood Loss, Surgical Risk Factors Machine Learning Creatinine Blood Transfusion Aged Forecasting
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Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations.

Scientific reports Feb 10, 2021
Despite having a similar post-operative complication profile, cardiac valve operations are associated with a higher mortality rate compared to coronary artery bypass grafting (CABG) operations. For long-term mortality, few predictors are known. In th...
Risk Assessment Cohort Studies Time Factors Cardiac Surgical Procedures Probability Heart Valve Diseases Coronary Artery Bypass Female Aged Sensitivity and Specificity Male Humans Machine Learning Algorithms
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Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning.

Communications biology Jan 22, 2021
The clinical treatment planning of coronary heart disease requires hemodynamic parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually used in the simulation of cardiovascular hemodynamics. However, for the patient-spec...
Humans Hemodynamics Deep Learning Coronary Artery Bypass
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A Shifting Paradigm in Robotic Heart Surgery: From Single-Procedure Approach to Establishing a Robotic Heart Center of Excellence.

Innovations (Philadelphia, Pa.) May 8, 2020
Myocardial Revascularization Congenital Abnormalities Coronary Artery Bypass, Off-Pump Robotics Coronary Artery Bypass Cardiac Resynchronization Therapy Nobel Prize Atrial Fibrillation Humans Tricuspid Valve Minimally Invasive Surgical Procedures Arrhythmias, Cardiac History, 20th Century Lead Poisoning Mitral Valve Myocardial Bridging Endoscopy Patient Positioning Cardiomyopathy, Hypertrophic Robotic Surgical Procedures Aortic Valve History, 21st Century Pericardiectomy Cardiac Surgical Procedures
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