AIMC Topic: Cardiac Surgical Procedures

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Comparing ensemble learning algorithms and severity of illness scoring systems in cardiac intensive care units: a retrospective study.

Einstein (Sao Paulo, Brazil) Oct 14, 2024
BACKGROUND: Beatriz Nistal-Nuño designed a machine learning system type of ensemble learning for patients undergoing cardiac surgery and intensive care unit cardiology patients, based on sequences of cardiovascular physiological measurements and othe...
Female Algorithms Cardiac Surgical Procedures Hospital Mortality Retrospective Studies Reproducibility of Results Coronary Care Units Humans Intensive Care Units ROC Curve Risk Factors Risk Assessment Aged Machine Learning Logistic Models Severity of Illness Index Male Middle Aged
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Features selection in a predictive model for cardiac surgery-associated acute kidney injury.

Perfusion Oct 9, 2024
BackgroundCardiac surgery-associated acute kidney injury (CSA-AKI) is related to increased morbidity and mortality. However, limited studies have explored the influence of different feature selection (FS) methods on the predictive performance of CSA-...
Humans Acute Kidney Injury Male Middle Aged Cardiac Surgical Procedures Female Risk Factors Aged
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Machine Learning on 50,000 Manuscripts Shows Increased Clinical Research by Academic Cardiac Surgeons.

The Journal of surgical research Sep 18, 2024
INTRODUCTION: Academic cardiac surgeons are productive researchers and innovators. We sought to perform a comprehensive machine learning (ML)-based characterization of cardiac surgery research over the past 40 y to identify trends in research pursuit...
Humans United States Cardiac Surgical Procedures Translational Research, Biomedical Machine Learning Biomedical Research Surgeons Thoracic Surgery
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Digital wound monitoring with artificial intelligence to prioritise surgical wounds in cardiac surgery patients for priority or standard review: protocol for a randomised feasibility trial (WISDOM).

BMJ open Sep 17, 2024
INTRODUCTION: Digital surgical wound monitoring for patients at home is becoming an increasingly common method of wound follow-up. This regular monitoring improves patient outcomes by detecting wound complications early and enabling treatment to star...
Surgical Wound Artificial Intelligence Monitoring, Physiologic Feasibility Studies Randomized Controlled Trials as Topic Cardiac Surgical Procedures Humans Surgical Wound Infection
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Automated biventricular quantification in patients with repaired tetralogy of Fallot using a three-dimensional deep learning segmentation model.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 11, 2024
BACKGROUND: Deep learning is the state-of-the-art approach for automated segmentation of the left ventricle (LV) and right ventricle (RV) in cardiovascular magnetic resonance (CMR) images. However, these models have been mostly trained and validated ...
Deep Learning Adolescent Child Imaging, Three-Dimensional Treatment Outcome Predictive Value of Tests Adult Male Databases, Factual Ventricular Function, Left Retrospective Studies Reproducibility of Results Female Young Adult Ventricular Function, Right Automation Cardiac Surgical Procedures Humans Tetralogy of Fallot Heart Ventricles Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted
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Five steps in performing machine learning for binary outcomes.

The Journal of thoracic and cardiovascular surgery Sep 5, 2024
BACKGROUND: The use of machine learning (ML) in cardiovascular and thoracic surgery is evolving rapidly. Maximizing the capabilities of ML can help improve patient risk stratification and clinical decision making, improve accuracy of predictions, and...
Cardiac Surgical Procedures Decision Support Techniques Clinical Decision-Making Risk Assessment Humans Machine Learning
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Optimizing clinical operations with AI.

Heart rhythm Aug 28, 2024
Cardiac Surgical Procedures Humans Artificial Intelligence
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Tree-based ensemble machine learning models in the prediction of acute respiratory distress syndrome following cardiac surgery: a multicenter cohort study.

Journal of translational medicine Aug 15, 2024
BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory complication with high mortality and morbidity. Traditional clinical approaches may lead to under recognition of this heterogeneous syndrome, potenti...
Cardiac Surgical Procedures Male Middle Aged Cohort Studies ROC Curve Respiratory Distress Syndrome Area Under Curve Machine Learning Female Aged Humans
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The Emerging and Important Role of Artificial Intelligence in Cardiac Surgery.

The Canadian journal of cardiology Aug 2, 2024
Artificial Intelligence (AI) has greatly affected our everyday lives and holds great promise to change the landscape of medicine. AI is particularly positioned to improve care for the increasingly complex patients undergoing cardiac surgery using the...
Risk Assessment Cardiac Surgical Procedures Humans Artificial Intelligence
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The Advent of Artificial Intelligence into Cardiac Surgery: A Systematic Review of Our Understanding.

Brazilian journal of cardiovascular surgery Jul 22, 2024
When faced with questions about artificial intelligence (AI), many surgeons respond with scepticism and rejection. However, in the realm of cardiac surgery, it is imperative that we embrace the potential of AI and adopt a proactive mindset. This syst...
Humans Artificial Intelligence Cardiac Surgical Procedures
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