Abstract Artificial Intelligence (AI) and Machine Learning (ML) are making headlines in
medical research, especially in drug discovery, digital imaging, disease diagnostics, genetic …

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

The type 1 diabetes community is coalescing around the benefits and advantages of early
screening for disease risk. To be accepted by healthcare providers, regulatory authorities …

Background: The rise of virtual healthcare underscores the transformative influence of digital
technologies in reshaping the healthcare landscape. As technology advances and the …

Background: The main risk stratification tools for identifying high-risk individuals of
cardiovascular disease (CVD) are based on Western populations. Few models are …

Antiplatelet therapy is the cornerstone of antithrombotic prevention in patients with
established atherosclerosis, since it has been proven to reduce coronary, cerebrovascular …

Early risk stratification is of outmost clinical importance in hospitalized patients with heart
failure (HHF). We examined the predictive value of the Larissa Heart Failure Risk Score …

Sudden cardiac death/sudden cardiac arrest (SCD/SCA) is an increasingly prevalent cause
of mortality globally, particularly in individuals with preexisting cardiac conditions. The …

Cardiovascular disease (CVD) is the leading cause of death globally, demanding accurate
risk prediction models for early intervention and prevention. This project aimed to develop a …

Congestive heart failure (CHF) is a multifaceted clinical syndrome characterized by the
inability of the heart to pump blood effectively, leading to inadequate oxygen and nutrient …