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Cardiac Surgical Procedures

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

Innovations (Philadelphia, Pa.)
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.

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

The Journal of thoracic and cardiovascular surgery
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 ...

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

Innovations (Philadelphia, Pa.)
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 ...

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

Innovations (Philadelphia, Pa.)
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...

Artificial intelligence and cardiac surgery risk assessment.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery

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

The Journal of thoracic and cardiovascular surgery
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.

Using machine learning to predict bleeding after cardiac surgery.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
OBJECTIVES: The primary objective was to predict bleeding after cardiac surgery with machine learning using the data from the Australia New Zealand Society of Cardiac and Thoracic Surgeons Cardiac Surgery Database, cardiopulmonary bypass perfusion da...