Big Data, and the derived analysis techniques, such as artificial intelligence and machine
learning, have been considered a revolution in the modern practice of medicine. Big Data …

Mini-abstract The study introduces various methods of performing conventional ML and their
implementation in surgical areas, and the need to move beyond these traditional …

The General Data Protection Regulation (GDPR), enacted in the European Union in 2018,
has significantly transformed the landscape of personal data management and protection …

Computers changed our lives for good and for bad quite a while ago. People in the kind of
seniority side may agree that the Commodore 64, also known as the C64 or the CBM 64, an …

Objective The introduction of new clinical risk scores (eg European System for Cardiac
Operative Risk Evaluation (EuroSCORE) II) superseding original scores (eg EuroSCORE I) …

Seventy years ago, establishing the worth of an operation was more straightforward. For
example, there was little of any use to be done for structural heart disease. Cyanotic heart …

Big Data is becoming increasingly popular with the collaborative collection of registries
offering anesthesia a way to explore rare perioperative complications and outcome to …

Background We developed machine learning models that combine preoperative and
intraoperative risk factors to predict mortality after cardiac surgery. Methods Machine …

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 …

Background Machine learning (ML) models are promising tools for predicting adverse
postoperative outcomes in cardiac surgery, yet have not translated to routine clinical use …