AIMC Topic: Cardiac Surgical Procedures

Clear Filters Showing 41 to 50 of 144 articles

Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool.

The Annals of thoracic surgery Dec 6, 2023
BACKGROUND: We previously showed that machine learning-based methodologies of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery and assess case-mix-adjusted performance after benchmark procedures. We exten...
Machine Learning Databases, Factual Retrospective Studies Female Humans Europe Benchmarking Cardiac Surgical Procedures Heart Defects, Congenital Male Risk Assessment Hospital Mortality
View on PubMed DOI

Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgery.

The Journal of thoracic and cardiovascular surgery Nov 29, 2023
BACKGROUND: The clinical applicability of machine learning predictions of patient outcomes following cardiac surgery remains unclear. We applied machine learning to predict patient outcomes associated with high morbidity and mortality after cardiac s...
Male Middle Aged Risk Assessment Postoperative Complications Female Risk Factors Aged Stroke Cardiac Surgical Procedures Venous Thromboembolism Treatment Outcome Predictive Value of Tests Postoperative Hemorrhage Decision Support Techniques Databases, Factual Humans Machine Learning
View on PubMed DOI

Can machine learning provide preoperative predictions of biological hemostasis after extracorporeal circulation for cardiac surgery?

The Journal of thoracic and cardiovascular surgery Nov 4, 2023
OBJECTIVES: The goal of this study was to improve decision making regarding the transfusion of patients at the end of extracorporeal circulation for cardiac surgery through machine learning predictions of the evolution of platelets counts, prothrombi...
Humans Middle Aged Platelet Count Treatment Outcome Hemostasis Blood Transfusion Extracorporeal Circulation Machine Learning Clinical Decision-Making Aged Predictive Value of Tests Fibrinogen Prospective Studies Male Female Biomarkers Cardiac Surgical Procedures
View on PubMed DOI

Commentary: Is machine learning needed to understand that heart failure is a risk in adult congenital cardiac surgery?

The Journal of thoracic and cardiovascular surgery Oct 14, 2023
Cardiac Surgical Procedures Heart Failure Heart Defects, Congenital Risk Factors Adult Risk Assessment Humans Machine Learning
View on PubMed DOI

Impact of heart failure on reoperation in adult congenital heart disease: An innovative machine learning model.

The Journal of thoracic and cardiovascular surgery Sep 28, 2023
OBJECTIVES: The study objectives were to evaluate the association between preoperative heart failure and reoperative cardiac surgical outcomes in adult congenital heart disease and to develop a risk model for postoperative morbidity/mortality.
Humans Heart Defects, Congenital Risk Assessment Heart Failure Postoperative Complications Treatment Outcome Risk Factors Male Machine Learning Reoperation Time Factors Adult Cardiac Surgical Procedures Retrospective Studies Middle Aged Female
View on PubMed DOI

Transthoracic Aortic Clamp Technique for Port-Only Endoscopic Robotic Mitral Surgery.

Innovations (Philadelphia, Pa.) May 25, 2023
OBJECTIVE: Many robotic mitral surgeons utilize right thoracotomy with transthoracic clamping of the aorta, while a smaller number employ a port-only endoscopic approach with endoaortic balloon occlusion of the aorta. We present our technique for a p...
Aortic Diseases Minimally Invasive Surgical Procedures Robotic Surgical Procedures Cardiac Surgical Procedures Humans Aorta Endoscopy Robotics
View on PubMed DOI

Implementation and clinical impact of a robotic heart surgery program.

Revista espanola de cardiologia (English ed.) May 12, 2023
Humans Robotics Cardiac Surgical Procedures Robotic Surgical Procedures Heart
View on PubMed DOI

A New Frontier: No Working Port for Robotic Mitral Valve Repair.

Innovations (Philadelphia, Pa.) Apr 10, 2023
A 61-year-old male presented via referral for mitral regurgitation and was deemed an appropriate robotic surgery candidate for complex mitral valve repair with the maze procedure and patent foramen ovale and left atrial appendage closures, using all ...
Humans Male Middle Aged Robotics Mitral Valve Robotic Surgical Procedures Minimally Invasive Surgical Procedures Mitral Valve Insufficiency Cardiac Surgical Procedures
View on PubMed DOI

Clinical utility of a deep-learning mortality prediction model for cardiac surgery decision making.

The Journal of thoracic and cardiovascular surgery Feb 2, 2023
OBJECTIVES: The aim of this study using decision curve analysis (DCA) was to evaluate the clinical utility of a deep-learning mortality prediction model for cardiac surgery decision making compared with the European System for Cardiac Operative Risk ...
Decision Making Cardiac Surgical Procedures Deep Learning Hospital Mortality ROC Curve Retrospective Studies Humans Risk Assessment Artificial Intelligence
View on PubMed DOI

A Systematic Review and Meta-Analysis of Robot-Assisted Mitral Valve Repair.

Innovations (Philadelphia, Pa.) Dec 18, 2022
OBJECTIVE: Robot-assisted surgery is a minimally invasive approach for repairing the mitral valve. This study aimed to assess its safety and clinical efficacy when compared with conventional sternotomy, partial sternotomy, and right minithoracotomy.
Mitral Valve Mitral Valve Insufficiency Sternotomy Humans Robotics Retrospective Studies Minimally Invasive Surgical Procedures Treatment Outcome Cardiac Surgical Procedures
View on PubMed DOI
Popular Topics
Recent Journals