AI Medical Compendium Topic

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Cardiac Surgical Procedures

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Minimally Invasive and Robotic Mitral Valve Surgery: Methods and Outcomes in a 20-Year Review.

Innovations (Philadelphia, Pa.)
In the mid- to late-1990s the cardiac surgery community began to apply limited incisions in mitral valve surgery. Ministernotomies and right-sided minithoracotomies were placed instead of the classic midline sternotomy. Adjunct technology such as vid...

Robot-assisted beating-heart surgery for atrial septal defect repair in a case of situs inversus totalis with dextrocardia.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This paper describes a case of a patient with situs inversus totalis (SIT) and dextrocardia in which robotic atrial septal defect (ASD) repair was successfully performed in a beating heart.

Robotic resection of an aortic valve fibroelastoma using a right lateral approach.

Journal of cardiac surgery
BACKGROUND AND AIM OF THE STUDY: Robotic technology provides excellent visualization and surgical precision and it is reaching maturity in cardiac surgery, although mostly confined to mitral surgery and coronary revascularization. Robotic aortic valv...

Commentary: When will the robots come marching in?

Journal of cardiac surgery
Minimally invasive techniques for coronary artery bypass grafting (CABG), specifically robotic-assisted CABG has increased in popularity despite conflicting evidence. Here, we review a report by Yokoyama and colleagues to the Journal of Cardiac Surge...

Cardiac Operative Risk in Latin America: A Comparison of Machine Learning Models vs EuroSCORE-II.

The Annals of thoracic surgery
BACKGROUND: Machine learning is a useful tool for predicting medical outcomes. This study aimed to develop a machine learning-based preoperative score to predict cardiac surgical operative mortality.

Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations.

Scientific reports
Despite having a similar post-operative complication profile, cardiac valve operations are associated with a higher mortality rate compared to coronary artery bypass grafting (CABG) operations. For long-term mortality, few predictors are known. In th...

Machine learning prediction models for prognosis of critically ill patients after open-heart surgery.

Scientific reports
We aimed to build up multiple machine learning models to predict 30-days mortality, and 3 complications including septic shock, thrombocytopenia, and liver dysfunction after open-heart surgery. Patients who underwent coronary artery bypass surgery, a...

Detecting neurodevelopmental trajectories in congenital heart diseases with a machine-learning approach.

Scientific reports
We aimed to delineate the neuropsychological and psychopathological profiles of children with congenital heart disease (CHD) and look for associations with clinical parameters. We conducted a prospective observational study in children with CHD who u...