Background Postoperative hemodynamic deterioration among cardiac surgical patients can
indicate or lead to adverse outcomes. Whereas prediction models for such events using …

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ABSTRACT BACKGROUND Artificial intelligence has emerged as a tool to potentially
increase efficiency and efficacy of healthcare and improve clinical outcomes. The growing …

The recent COVID‐19 pandemic revealed an urgent need to develop robust cell culture
platforms which can react rapidly to respond to this kind of global health issue. Chinese …

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 …

Objective: To summarize state-of-the-art artificial intelligence–enabled decision support in
surgery and to quantify deficiencies in scientific rigor and reporting. Background: To …

Background The aim of this study was to develop a new risk prediction score (NH Score) for
patients undergoing coronary artery bypass grafting (CABG) specific to the Indian population …

Cardiovascular diseases (CVD) are termed to be the group of diseases related to the human
heart, which are very dangerous and risky. It affects human life on various levels depending …

АНОТАЦІЯ Плечиста ЄЕ Вибір оптимального методу седації в ранньому
післяопераційному періоді у пацієнтів після кардіохірургічних втручань із застосуванням …

The purpose of this review is to provide a comprehensive review of publications related to
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …