Advances in artificial intelligence (AI), especially deep learning (DL), have facilitated
magnetic resonance imaging (MRI) data analysis, enabling AI-assisted medical image …

Liver disease is also considered amongst one of the deadly disease for example, Liver
cirrhosis (LC), the end phase of numerous types of ceaseless hepatitis of various etiologies …

Around a million deaths occur due to liver diseases globally. There are several traditional
methods to diagnose liver diseases, but they are expensive. Early prediction of liver disease …

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 …

Materials and Methods: We trained several machine learning models using discharge
summaries from patients with known cirrhosis from a patient registry and random controls …

Abstract Background and Objective Fatty Liver Disease (FLD)-a disease caused by
deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The …

Machine learning is a branch of Artificial Intelligence (AI) which is heavily used in the field of
data science. It has a strong potential in health-related data analysis for automated disease …

Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently
and more effectively than conventional methods through detection of hidden patterns within …

Background Hepatitis C is a prevalent disease that poses a high risk to the human liver.
Early diagnosis of hepatitis C is crucial for treatment and prognosis. Therefore, developing …

Background & Aims Liver disease carries significant healthcare burden and frequently
requires a combination of blood tests, imaging, and invasive liver biopsy to diagnose …