Cardiac diseases form the lion's share of the global disease burden, owing to the paradigm
shift to non-infectious diseases from infectious ones. The prevalence of CVDs has nearly …

The challenges associated with diagnosing and treating cardiovascular disease
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …

Objectives ChatGPT, a tool based on natural language processing (NLP), is on everyone's
mind, and several potential applications in healthcare have been already proposed …

Since beginning of medical diagnostics, laboratory specialists have done an amazing job,
continuously improving quality, spectrum and speed of laboratory tests, currently …

Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic"
cognitive" functions that we associate with our mind, such as" learning" and" solving …

This article presents a systematic literature review that expands and updates a previous
review on the application of machine learning to laboratory medicine. We used Scopus and …

The evaluation of coronary morphology provides important guidance for the treatment of
coronary heart disease (CHD). A chaotic Gaussian mutation antlion optimizer algorithm …

Background: Cardiovascular disease (CVD) is challenging to diagnose and treat since
symptoms appear late during the progression of atherosclerosis. Conventional risk factors …

The rapid evolution of neural networks and deep learning has revolutionized various fields,
with clinical cardiology being no exception. As traditional methods in cardiology encounter …

Natriuretic peptides (NP) play an essential role in heart failure (HF) regulation, and their
measurement has improved diagnostic and prognostic accuracy. Clinical symptoms and …