… (AASLD), two coincident dynamic imaging modalities are required to diagnose malignancy
in small neoplastic lesions. Contrary to this, Sangiovanni et al suggested sequential …

… an intelligent model for the diagnosis of liver diseases which integrates CART and … to
diagnose whether a patient suffers from liver disease; (2) for patients diagnosed with liver disease …

… of potentially more effective therapeutic strategies for chronic liver diseases (CLDs) … as liver
biopsy and the search for non-invasive methods for the longitudinal follow-up of the disease. …

… in the diagnosis and treatment of a variety of liver diseases, the burden of chronic liver
disease is … The first step to addressing any disease is accurate diagnosis. Here, we discuss …

… [5] Thus, there is an urgent need to try to identify patients with chronic liver diseases (CLD)
at an earlier stage and intervene effectively before they progress to cirrhosis and …

… detection and characterization of diffuse liver diseases and liver tumors, and in … diagnostic
performance by combining imaging biomarkers. For widespread clinical use in liver disease, …

… In fact, both the prevalence of NAFLD and stage of liver disease appear to increase with age…
One of the important surrogates for advanced liver disease is documentation of progressive …

… liver disease (NAFLD) is a common liver disease … be diagnosed in a timely manner, which
is largely attributed to the asymptomatic features of NAFLD patients and the lack of an effective …

… The field of hepatology is no exception, with a growing number of studies published that
apply AI techniques to the diagnosis and treatment of liver diseases. These have included …

… Currently, NAFLD is the most common chronic liver disease in developed … of effective
diagnostic methods and satisfactory treatments. This study will provide a description of diagnostic …