Abstract Machine learning techniques have great potential to improve medical diagnostics,
offering ways to improve accuracy, reproducibility and speed, and to ease workloads for …

In the last 20 years, noninvasive serum biomarkers to identify liver fibrosis in patients with
non-alcoholic fatty liver disease (NAFLD) have been developed, validated against liver …

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease.
Nonalcoholic steatohepatitis (NASH) is an advanced form of NAFLD can progress to liver …

Non-alcoholic fatty liver disease (NAFLD) is a spectrum of diseases characterized by fatty
accumulation in hepatocytes, ranging from steatosis, non-alcoholic steatohepatitis, to …

Fatty Liver Disease (FLD) is a frequent clinical impediment that is linked with high weariness
and mortality. Despite that, an early prediction and diagnosis provide the patient with …

Background & Aims Accurate hepatocellular carcinoma (HCC) risk prediction facilitates
appropriate surveillance strategy and reduces cancer mortality. We aimed to derive and …

Digital histopathological images, high‐resolution images of stained tissue samples, are a
vital tool for clinicians to diagnose and stage cancers. The visual analysis of patient state …

Artificial Intelligence (AI) has recently been shown as an excellent tool for the study of the
liver; however, many obstacles still have to be overcome for the digitalization of real-world …

Abstract Background and Aim Hepatocellular carcinoma (HCC) diagnosis mainly relies on
its pathognomonic radiological profile, obviating the need for biopsy. The project of …

Background: Non-alcoholic Fatty Liver Disease (NAFLD) is growing more prevalent
worldwide. Although non-invasive diagnostic approaches such as conventional …