Despite rapid advances in deep learning applications for radiological diagnosis and
prognosis, the clinical adoption of such models is limited by their inability to explain or justify …

Hepatitis C is an infectious disease that affects more than 70 million people worldwide, even
killing 400 thousand of them annually. To better understand this disease and its prognosis …

In recent years, the artificial intelligence machine learning and deep learning technology
have made leap progress. Using clinical decision support system for auxiliary diagnosis and …

Objective: To evaluate the feasibility of automated machine learning (AutoML) in predicting
30-day mortality in non-cholestatic cirrhosis. Methods: A total of 932 cirrhotic patients were …

This Editorial precedes the Special Issue entitled “Novel Challenges and Therapeutic
Options for Liver Diseases”. Following a historical outline of the roots of hepatology, we …

Background The gold standard for the diagnosis of liver fibrosis and nonalcoholic fatty liver
disease (NAFLD) is liver biopsy. Various noninvasive modalities, eg, ultrasonography …

Nowadays, diseases are caused by harmful ingredients such as origins, pathogens,
microbes, microorganisms, and viruses that can enter the human body. Early prediction of …

Liver, the largest vital organ in the human body, helps in digestion, energy storage, and toxic
removal processes. Hepatitis A, B, C, fatty liver, cirrhosis, and liver cancer all cause swelling …

Hepatocellular carcinoma (HCC) is the most common type of liver cancer with a high
morbidity and fatality rate. Traditional diagnostic methods for HCC are primarily based on …

Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver
diseases (CLD) which can progress to liver cancer. The severity and treatment of NAFLD is …