AIMC Topic: Cardiac Surgical Procedures

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Automated structured data extraction from intraoperative echocardiography reports using large language models.

British journal of anaesthesia Mar 3, 2025
BACKGROUND: Consensus-based large language model (LLM) ensembles might provide an automated solution for extracting structured data from unstructured text in echocardiography reports.
Large Language Models Humans Echocardiography, Transesophageal Female Aged Monitoring, Intraoperative Natural Language Processing Adult Cardiac Surgical Procedures Cross-Sectional Studies Information Storage and Retrieval Male Echocardiography Middle Aged
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Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network.

The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases Feb 21, 2025
INTRODUCTION: We aimed to create and validate the 30-day prognostic score for mortality in patients with surgical wound infection (SWICS-30) after cardiothoracic surgery.
Surgical Wound Infection Risk Assessment Adolescent Hospital Mortality Logistic Models Cardiac Surgical Procedures Young Adult Adult Male Middle Aged Humans Neural Networks, Computer Prognosis Retrospective Studies Female Risk Factors Aged Aged, 80 and over
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Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery.

Cardiovascular diabetology Feb 15, 2025
BACKGROUND: The stress hyperglycemia ratio (SHR) was developed to reduce the effects of long-term chronic glycemic factors on stress hyperglycemia levels, which was associated with adverse clinical outcomes. This study aims to evaluate the relationsh...
Blood Glucose Time Factors Hospital Mortality Hyperglycemia Treatment Outcome Aged Male Middle Aged Risk Assessment Predictive Value of Tests Cause of Death Cardiac Surgical Procedures Stress, Physiological Humans Machine Learning Decision Support Techniques Databases, Factual Biomarkers Retrospective Studies Female Risk Factors
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Functional MRI-based machine learning strategy for prediction of postoperative delirium in cardiac surgery patients: A secondary analysis of a prospective observational study.

Journal of clinical anesthesia Feb 13, 2025
STUDY OBJECTIVE: Delirium is a common complication after cardiac surgery and is associated with poor prognosis. An effective delirium prediction model could identify high-risk patients who might benefit from targeted prevention strategies. We introdu...
Machine Learning Prospective Studies Brain Female Aged Humans Emergence Delirium Magnetic Resonance Imaging Male Predictive Value of Tests Middle Aged Cardiac Surgical Procedures Postoperative Complications Delirium China Heart Valve Prosthesis Implantation
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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...
Humans Neural Networks, Computer Machine Learning Algorithms Intensive Care Units Respiration, Artificial Cardiac Surgical Procedures
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Navigating the future of pediatric cardiovascular surgery: Insights and innovation powered by Chat Generative Pre-Trained Transformer (ChatGPT).

The Journal of thoracic and cardiovascular surgery Feb 1, 2025
INTRODUCTION: Interdisciplinary consultations are essential to decision-making for patients with congenital heart disease. The integration of artificial intelligence (AI) and natural language processing into medical practice is rapidly accelerating, ...
Humans Artificial Intelligence Retrospective Studies Child Generative Artificial Intelligence Natural Language Processing Cardiac Surgical Procedures Heart Defects, Congenital Clinical Decision-Making Female Male Infant Child, Preschool
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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 ...
Humans Cardiac Surgical Procedures Machine Learning Heart Valves Middle Aged Prospective Studies Risk Assessment Female Postoperative Complications Aged Wearable Electronic Devices Male Lung Diseases
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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...
Child Treatment Outcome Predictive Value of Tests Cardiac Surgical Procedures Humans Heart Defects, Congenital Artificial Intelligence Infant Adolescent Time Factors Young Adult Child, Preschool Decision Support Techniques Adult Female Male Infant, Newborn Risk Assessment Risk Factors Postoperative Complications
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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.
Systemic Inflammatory Response Syndrome Humans Predictive Value of Tests Retrospective Studies Cardiac Surgical Procedures Machine Learning Middle Aged Female Risk Assessment Risk Factors Postoperative Complications Aged Cohort Studies Male
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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...
Netherlands Aged Humans Early Warning Score Male Machine Learning Middle Aged Intensive Care Units Cardiac Surgical Procedures Female Hypotension
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