AIMC Topic: Cardiac Catheterization

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Current and future applications of robotics in structural heart interventions.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology Jul 7, 2025
Robotics entered the cardiovascular field in the late 1990s with a robot-assisted coronary artery bypass graft. Since then, the use of robots has become a common part of cardiovascular surgery in several types of interventions. The experience in tran...
Percutaneous Coronary Intervention Cardiac Surgical Procedures Cardiac Catheterization Echocardiography, Transesophageal Humans Animals Robotics Robotic Surgical Procedures
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Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study.

Computer assisted surgery (Abingdon, England) Feb 24, 2025
This study evaluates the performance of deep learning models in the prediction of the end time of procedures performed in the cardiac catheterization laboratory (cath lab). We employed only the clinical phases derived from video analysis as input to ...
Time Factors Workflow Benchmarking Cardiac Catheterization Humans Algorithms Deep Learning
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Deep Learning-Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral Regurgitation.

Circulation. Cardiovascular imaging Jan 21, 2025
BACKGROUND: Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed using echocardiography-measured tricusp...
Humans Prognosis Female Aged Severity of Illness Index Deep Learning Predictive Value of Tests Registries Aged, 80 and over Male Stroke Volume Echocardiography Ventricular Function, Right Mitral Valve Mitral Valve Insufficiency Cardiac Catheterization
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Application of machine learning in predicting postoperative arrhythmia following transcatheter closure of perimembranous ventricular septal defects.

Kardiologia polska Jan 2, 2025
BACKGROUND: Arrhythmia is a frequent complication following transcatheter device closure of perimembranous ventricular septal defects (pmVSD). However, there is currently a lack of a convenient tool for predicting postoperative arrhythmia.
Heart Septal Defects, Ventricular Humans Female Machine Learning Retrospective Studies Child, Preschool Male Child Postoperative Complications Arrhythmias, Cardiac Infant Cardiac Catheterization
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Active learning for extracting rare adverse events from electronic health records: A study in pediatric cardiology.

International journal of medical informatics Dec 12, 2024
OBJECTIVE: Automate the extraction of adverse events from the text of electronic medical records of patients hospitalized for cardiac catheterization.
Cardiac Catheterization Large Language Models Cardiology Electronic Health Records Deep Learning Data Mining Pediatrics Data Curation
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Deep Learning to Detect Pulmonary Hypertension from the Chest X-Ray Images of Patients with Systemic Sclerosis.

International heart journal Nov 14, 2024
Pulmonary hypertension (PH) is a serious prognostic complication in patients with systemic sclerosis (SSc). Deep learning models can be applied to detect PH in the chest X-ray images of these patients. The aim of the study was to investigate the perf...
Radiography, Thoracic Scleroderma, Systemic Cardiac Catheterization Middle Aged Humans Deep Learning Prognosis ROC Curve Retrospective Studies Aged Hypertension, Pulmonary Female Adult Male
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Artificial Intelligence Driven Prehospital ECG Interpretation for the Reduction of False Positive Emergent Cardiac Catheterization Lab Activations: A Retrospective Cohort Study.

Prehospital emergency care Sep 12, 2024
OBJECTIVES: Data suggest patients suffering acute coronary occlusion myocardial infarction (OMI) benefit from prompt primary percutaneous intervention (PPCI). Many emergency medical services (EMS) activate catheterization labs to reduce time to PPCI,...
Humans Artificial Intelligence Myocardial Infarction False Positive Reactions Coronary Occlusion Cardiac Catheterization Male Middle Aged Algorithms Electrocardiography Retrospective Studies Emergency Medical Services Female Aged
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Application of machine learning to predict in-hospital mortality after transcatheter mitral valve repair.

Surgery Aug 9, 2024
INTRODUCTION: Transcatheter mitral valve repair offers a minimally invasive treatment option for patients at high risk for traditional open repair. We sought to develop dynamic machine-learning risk prediction models for in-hospital mortality after t...
Female Mitral Valve Humans Middle Aged Aged Machine Learning Mitral Valve Insufficiency Aged, 80 and over Retrospective Studies Heart Valve Prosthesis Implantation Risk Assessment Male Cardiac Catheterization Hospital Mortality United States
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Can supervised deep learning architecture outperform autoencoders in building propensity score models for matching?

BMC medical research methodology Aug 2, 2024
PURPOSE: Propensity score matching is vital in epidemiological studies using observational data, yet its estimates relies on correct model-specification. This study assesses supervised deep learning models and unsupervised autoencoders for propensity...
Deep Learning Logistic Models Supervised Machine Learning Humans Propensity Score Cardiac Catheterization Algorithms Computer Simulation
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Development of machine learning models for fractional flow reserve prediction in angiographically intermediate coronary lesions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Aug 1, 2024
BACKGROUND: Fractional flow reserve (FFR) represents the gold standard in guiding the decision to proceed or not with coronary revascularization of angiographically intermediate coronary lesion (AICL). Optical coherence tomography (OCT) allows to car...
Supervised Machine Learning Coronary Vessels Plaque, Atherosclerotic Cardiac Catheterization Coronary Stenosis Predictive Value of Tests Databases, Factual Fractional Flow Reserve, Myocardial Humans Female Tomography, Optical Coherence Male Software Coronary Angiography Reproducibility of Results Decision Support Techniques Middle Aged Coronary Artery Disease Aged Severity of Illness Index
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