Exploring the current and prospective role of artificial intelligence in disease diagnosis.

Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems, providing assistance in a variety of patient care and health systems. The aim of this review is to contribute valuable insights to the ongoing discourse on the transformative potential of AI in healthcare, providing a nuanced understanding of its current applications, future possibilities, and associated challenges. The authors conducted a literature search on the current role of AI in disease diagnosis and its possible future applications using PubMed, Google Scholar, and ResearchGate within 10 years.

The Menace of Epidemic Amidst the COVID-19 Pandemic: A Systematic Review.

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), the causative agent for the Coronavirus Disease 2019 (COVID-19) pandemic, has sparked a medical emergency worldwide. With the rise in COVID-19 infections and an eventual increase in hospitalized critically ill patients, a trend of bacterial, fungal, and viral superinfection has been noted. One important agent of co-infection identified is .

Gender-based differences in primary percutaneous coronary intervention in patients with myocardial infarction from a developing country: A retrospective cohort study.

Introduction: Limited data exists about gender's impact on differences in risk factors and outcomes in our setting. Therefore, we sought to ascertain sex-related differences in patients with AMI in our setting.

Material And Methods: This retrospective study analyzed data from 247 myocardial infarction patients hospitalized in a tertiary care hospital, between March and October 2020.

The Era of Polypills in the Management of Cardiovascular Diseases: Are We There Yet?

Cardiovascular diseases (CVDs) are the leading cause of mortality globally. Wald and Law proposed the idea of a "polypill"; a fixed dose combination therapy (FDC) in the form of a single pill to curb the CVD epidemic. Such a drug would include the combination of a broad spectrum of drugs including cholesterol lowering drugs, antihypertensive drugs, antiplatelet drugs, anticoagulation drugs, and antiarrhythmic drugs, which are frequently integrated to combat specific CVDs.