Background and Objectives: The development of liver fibrosis as a consequence of
continuous inflammation represents a turning point in the evolution of chronic liver diseases …

Artificial intelligence (AI) and machine learning (ML) are becoming vital in laboratory
medicine and the broader context of healthcare. In this review article, we summarized the …

In recent years, deep learning techniques have been widely used to diagnose diseases.
However, in some tasks, such as the diagnosis of COVID-19 disease, due to insufficient …

Background: This study aimed to develop a novel drug formulation using
polybutylcyanoacrylate (PBCA) nanoparticles to deliver cisplatin, a commonly used …

The term Artificial Intelligence (AI) was originally used by John McCarthy at the Dartmouth
conference in 1956 and was defined as the “theory and development of computer systems …

This study aimed to design an end-to-end deep learning model for estimating the value of
fractional flow reserve (FFR) using angiography images to classify left anterior descending …

Chronic liver disease (CLD) is a major health concern for millions of people all over the
globe. Early prediction and identification are critical for taking appropriate action at the …

Objectives All patients with cirrhosis should be periodically examined for esophageal
varices (EV), however, a large percentage of patients undergoing screening, do not have EV …

Breast cancer is one of the most prevalent cancers with an increasing trend in both
incidence and mortality rates in Iran. Survival analysis is a pivotal measure in setting …

Background: Esophageal varices, dilated submucosal veins in the lower esophagus, are
commonly associated with portal hypertension, particularly due to liver cirrhosis. The high …