| Abstract: | Nonalcoholic fatty liver disease (NAFLD) is one of the most frequent chronic liver diseases with a rising incidence in industrial countries. This is accompanied by an increased prevalence for NAFLD-associated liver cirrhosis and an increased risk for developing hepatocellular carcinoma. The current gold standard in the diagnostics is a liver biopsy. The histopathological evaluation is performed through semiquantitative scoring. To optimize the standardization and quantification of the existing scoring systems, in the coming years procedures with artificial intelligence, such as deep learning models could be used. Fields of application could be the supplementation of conventional histopathological diagnostics, the identification of new predictive parameters for estimating the prognosis and the prediction of a possible response to treatment. |
