AIMC Topic: Cardiac Surgical Procedures

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Enhancing machine learning performance in cardiac surgery ICU: Hyperparameter optimization with metaheuristic algorithm.

PloS one Feb 10, 2025
The healthcare industry is generating a massive volume of data, promising a potential goldmine of information that can be extracted through machine learning (ML) techniques. The Intensive Care Unit (ICU) stands out as a focal point within hospitals a...
Algorithms Intensive Care Units Respiration, Artificial Cardiac Surgical Procedures Humans Neural Networks, Computer Machine Learning
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Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data.

BMC medical informatics and decision making Jan 31, 2025
BACKGROUND: Postoperative pulmonary complications (PPCs) following cardiac valvular surgery are characterized by high morbidity, mortality, and economic cost. This study leverages wearable technology and machine learning algorithms to preoperatively ...
Postoperative Complications Wearable Electronic Devices Lung Diseases Cardiac Surgical Procedures Aged Male Middle Aged Risk Assessment Heart Valves Humans Machine Learning Prospective Studies Female
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Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review.

BMC cardiovascular disorders Dec 20, 2024
INTRODUCTION: Congenital heart disease (CHD) represents the most common group of congenital anomalies, constitutes a significant contributor to the burden of non-communicable diseases, highlighting the critical need for improved risk assessment tools...
Female Infant, Newborn Risk Factors Young Adult Humans Artificial Intelligence Decision Support Techniques Infant Adult Adolescent Male Heart Defects, Congenital Time Factors Risk Assessment Child, Preschool Postoperative Complications Child Treatment Outcome Predictive Value of Tests Cardiac Surgical Procedures
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Impact of Inflammation After Cardiac Surgery on 30-Day Mortality and Machine Learning Risk Prediction.

Journal of cardiothoracic and vascular anesthesia Dec 9, 2024
OBJECTIVES: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS.
Cardiac Surgical Procedures Aged Male Middle Aged Risk Assessment Postoperative Complications Cohort Studies Systemic Inflammatory Response Syndrome Predictive Value of Tests Machine Learning Retrospective Studies Female Risk Factors Humans
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Effect of a Machine Learning-Derived Early Warning Tool With Treatment Protocol on Hypotension During Cardiac Surgery and ICU Stay: The Hypotension Prediction 2 (HYPE-2) Randomized Clinical Trial.

Critical care medicine Nov 22, 2024
OBJECTIVES: Cardiac surgery is associated with perioperative complications, some of which might be attributable to hypotension. The Hypotension Prediction Index (HPI), a machine-learning-derived early warning tool for hypotension, has only been evalu...
Hypotension Netherlands Early Warning Score Humans Machine Learning Intensive Care Units Female Aged Male Middle Aged 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...
Cardiac Surgical Procedures Aged Coronary Care Units Intensive Care Units Male Female Middle Aged Reproducibility of Results Risk Assessment Humans Risk Factors Machine Learning Severity of Illness Index Algorithms Hospital Mortality Retrospective Studies ROC Curve Logistic Models
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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-...
Risk Factors Aged Male Middle Aged Cardiac Surgical Procedures Humans Acute Kidney Injury Female
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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 Machine Learning Biomedical Research Surgeons United States Cardiac Surgical Procedures Translational Research, Biomedical 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 Feasibility Studies Cardiac Surgical Procedures Surgical Wound Infection Humans Artificial Intelligence Monitoring, Physiologic Randomized Controlled Trials as Topic
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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 ...
Automation Tetralogy of Fallot Magnetic Resonance Imaging, Cine Ventricular Function, Right Predictive Value of Tests Cardiac Surgical Procedures Heart Ventricles Image Interpretation, Computer-Assisted Retrospective Studies Female Reproducibility of Results Young Adult Humans Databases, Factual Adolescent Child Imaging, Three-Dimensional Treatment Outcome Adult Male Ventricular Function, Left Deep Learning
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