Deep learning and digital pathology powers prediction of HCC development in steatotic liver disease.

Takuma Nakatsuka Ryosuke TateishiMasaya SatoNatsuka HashizumeAmi KamadaHiroki NakanoYoshinori KabeyaSho YonezawaRie IrieHanako TsujikawaYoshio SumidaMasashi YonedaNorio AkutaTakumi Kawaguchi Hirokazu TakahashiYuichiro EguchiYuya Seko Yoshito Itoh Eisuke Murakami Kazuaki ChayamaMakiko TaniaiKatsutoshi TokushigeTakeshi OkanoueMichiie SakamotoMitsuhiro FujishiroKazuhiko Koike

Published in: Hepatology (Baltimore, Md.) (2024)

The ability of the DL model to capture subtle pathological features beyond fibrosis suggests its potential for identifying early signs of hepatocarcinogenesis in patients with steatotic liver disease.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
machine learning