Fig. 1.

Digital pathology and radiology using artificial intelligence for management of liver diseases.

(A) Number of studies by country of the first author. (B) Number of studies by prediction of the models. (C) Number of studies by liver disease. (D) Number of studies stratified by the clinical input data used. Raw data for this figure is available in Tables S1 and S2. Methodological details are available in the supplementary materials and methods. (E) Cumulative number of published original studies per half-year from 2010 to mid-2021. (F) Cumulative number of published original studies per half-year by research field. (G) Cumulative number of published original studies per half-year by either deep learning or handcrafted feature extraction. CCA, cholangiocarcinoma; CLD, chronic liver disease; HCC, hepatocellular carcinoma; NAFLD, non-alcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis.