AIMC Topic: Cardiac Surgical Procedures

Clear Filters Showing 31 to 40 of 150 articles

Pediatric cardiac surgery: machine learning models for postoperative complication prediction.

Journal of anesthesia Jul 19, 2024
PURPOSE: Managing children undergoing cardiac surgery with cardiopulmonary bypass (CPB) presents a significant challenge for anesthesiologists. Machine Learning (ML)-assisted tools have the potential to enhance the recognition of patients at risk of ...
Child, Preschool Child Logistic Models Support Vector Machine Risk Assessment Female Postoperative Complications Male Infant Humans Machine Learning Area Under Curve Cardiac Surgical Procedures Cardiopulmonary Bypass
View on PubMed DOI

Artificial intelligence in cardiac surgery: A systematic review.

World journal of surgery Jul 17, 2024
BACKGROUND: Artificial intelligence (AI) has emerged as a tool to potentially increase the efficiency and efficacy of cardiovascular care and improve clinical outcomes. This study aims to provide an overview of applications of AI in cardiac surgery.
Humans Artificial Intelligence Machine Learning Cardiac Surgical Procedures
View on PubMed DOI

Deep Learning Analysis of Surgical Video Recordings to Assess Nontechnical Skills.

JAMA network open Jul 1, 2024
IMPORTANCE: Assessing nontechnical skills in operating rooms (ORs) is crucial for enhancing surgical performance and patient safety. However, automated and real-time evaluation of these skills remains challenging.
Humans Female Video Recording Deep Learning Cross-Sectional Studies Clinical Competence Operating Rooms Male Patient Care Team Cardiac Surgical Procedures Middle Aged
View on PubMed DOI

Development and validation of a machine learning predictive model for perioperative myocardial injury in cardiac surgery with cardiopulmonary bypass.

Journal of cardiothoracic surgery Jun 26, 2024
BACKGROUND: Perioperative myocardial injury (PMI) with different cut-off values has showed to be associated with different prognostic effect after cardiac surgery. Machine learning (ML) method has been widely used in perioperative risk predictions du...
Adolescent Retrospective Studies Female Aged Risk Assessment Male Humans Postoperative Complications Cardiac Surgical Procedures Young Adult Middle Aged Machine Learning China Cardiopulmonary Bypass Adult
View on PubMed DOI

Cardiac patients' surgery outcome and associated factors in Ethiopia: application of machine learning.

BMC pediatrics Jun 18, 2024
INTRODUCTION: Cardiovascular diseases are a class of heart and blood vessel-related illnesses. In Sub-Saharan Africa, including Ethiopia, preventable heart disease continues to be a significant factor, contrasting with its presence in developed natio...
Middle Aged Infant Adolescent Child, Preschool Young Adult Adult Male Cardiac Surgical Procedures Heart Diseases Child Logistic Models Ethiopia Humans Machine Learning Algorithms Risk Factors Aged Retrospective Studies Female
View on PubMed DOI

Risk adjusted EWMA control chart based on support vector machine with application to cardiac surgery data.

Scientific reports Apr 26, 2024
In the current study, we demonstrate the use of a quality framework to review the process for improving the quality and safety of the patient in the health care department. The researchers paid attention to assessing the performance of the health car...
Cardiac Surgical Procedures Risk Adjustment Humans Risk Factors Support Vector Machine
View on PubMed DOI

AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning.

Sensors (Basel, Switzerland) Apr 4, 2024
In cardiac cine imaging, acquiring high-quality data is challenging and time-consuming due to the artifacts generated by the heart's continuous movement. Volumetric, fully isotropic data acquisition with high temporal resolution is, to date, intracta...
Cardiac Surgical Procedures Artifacts Cardiac Volume Deep Learning Heart
View on PubMed DOI

Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Major adverse postoperative outcomes (APOs) can greatly affect mortality, hospital stay, care management and planning, and quality of life. This study aimed to evaluate the performance of five machine learning (ML) algorithms for predicti...
Female Infant, Newborn Male Infant Child, Preschool Cardiac Surgical Procedures Risk Assessment Humans Heart Defects, Congenital Postoperative Complications Machine Learning Child Retrospective Studies ROC Curve Pneumonia
View on PubMed DOI

A Pilot Study Using Machine-learning Algorithms and Wearable Technology for the Early Detection of Postoperative Complications After Cardiothoracic Surgery.

Annals of surgery Mar 14, 2024
OBJECTIVE: To evaluate whether a machine-learning algorithm (ie, the "NightSignal" algorithm) can be used for the detection of postoperative complications before symptom onset after cardiothoracic surgery.
Pilot Projects Humans Wearable Electronic Devices Male Female Cardiac Surgical Procedures Algorithms Middle Aged Machine Learning Early Diagnosis Prospective Studies Postoperative Complications Aged
View on PubMed DOI

Artificial intelligence in academic cardiothoracic surgery.

The Journal of cardiovascular surgery Feb 1, 2024
Thoracic Surgery Diffusion of Innovation Humans Artificial Intelligence Education, Medical, Graduate Cardiac Surgical Procedures Thoracic Surgical Procedures
View on PubMed DOI
Popular Topics
Recent Journals