This narrative review delves into the potential of artificial intelligence (AI) in predicting,
stratifying risk, and personalizing treatment planning for congenital heart disease (CHD) …

Background As diagnostic and prognostic models developed by traditional statistics perform
poorly in real-world, artificial intelligence (AI) and Big Data (BD) may improve the supply …

Artificial Intelligence (AI) has greatly affected our everyday lives and holds great promise to
change the landscape of medicine. AI is particularly positioned to improve care for the …

Introduction Cardiac surgery involving cardiopulmonary bypass (CPB) activates an
inflammatory response releasing cytokines that are associated with less favourable …

Background Machine learning has been used to develop predictive models to support
clinicians in making better and more reliable decisions. The high volume of collected data in …

Background: The use of AI-driven technologies in probing big data to generate better risk
prediction models has been an ongoing and expanding area of investigation. The AI-driven …

Heart transplantation (HTx) stands as a life-saving intervention for patients with end-stage
heart disease, but the field is fraught with numerous challenges that span from the scarcity of …

Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …

This review highlights key studies examining perioperative management of cardiothoracic
transplantation published in 2023. Articles were manually screened after searching Scopus …

Although clinical decision support systems (CDSSs) have been used since the 1970s for a
wide variety of clinical tasks including optimization of medication orders, improved …