Background: Artificial intelligence (AI) and Machine Learning (ML) models continue to
evolve the clinical decision support systems (CDSS). However, challenges arise when it …

Artificial intelligence (AI) is increasingly being utilized in healthcare. This article provides
clinicians and researchers with a step-wise foundation for high-value AI that can be applied …

In routine clinical practice, the diagnosis and treatment of cardiovascular disease (CVD) rely
on data in a variety of formats. These formats comprise invasive angiography, laboratory …

With the rapid development of artificial intelligence (AI) and machine learning (ML), as well
as the arrival of the big data era, technological innovations have occurred in the field of …

Abstract Background Cardiovascular diseases (CVDs) are difficult to diagnose early and
have risk factors that are easy to overlook. Early prediction and personalization of treatment …

Using Artificial intelligence technologies in cardiology has witnessed rapid advancements
across various domains, fostering innovation and reshaping clinical practices. The study …

In the past decades there has been a substantial evolution in data management and data
processing techniques. New data architectures made analysis of big data feasible …

Prevention and effective treatment of cardiovascular disease are progressive issues that
grow in tandem with the average age of the world population. Over recent decades, the …

Aims Artificial intelligence (AI) and machine learning (ML) promise vast advances in
medicine. The current state of AI/ML applications in cardiovascular medicine is largely …

The depth and breadth of data produced in the modern cardiac intensive care unit (CICU)
poses challenges to clinicians and researchers. Artificial intelligence (AI) and machine …