Artificial intelligence (AI) models for the ultrasonographic diagnosis of liver tumors and comparison of diagnostic accuracies between AI and human experts.

Naoshi NishidaMakoto YamakawaTsuyoshi ShiinaYoshito MekadaMutsumi NishidaNaoya SakamotoTakashi NishimuraHiroko IijimaToshiko HiraiKen TakahashiMasaya SatoRyosuke TateishiMasahiro OgawaHideaki MoriMasayuki KitanoHidenori ToyodaChikara OgawaMasatoshi Kudonull null

Published in: Journal of gastroenterology (2022)

The performance of the AI models surpassed that of human experts in the four-class discrimination and benign and malignant discrimination of liver tumors. Thus, the AI models can help prevent human errors in US diagnosis.

Keyphrases

artificial intelligence
endothelial cells
machine learning
big data
deep learning
induced pluripotent stem cells
emergency department