Open AccessArtificial intelligence in liver ultrasound
Author(s) -
Liu-Liu Cao,
Peng Mei,
Xiang Xie,
Gong-Quan Chen,
Shuyan Huang,
Jiayu Wang,
Fan Jiang,
Xin-Wu Cui,
Christoph F. Dietrich
Publication year - 2022
Publication title -
world journal of gastroenterology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.427
H-Index - 155
eISSN - 2219-2840
pISSN - 1007-9327
DOI - 10.3748/wjg.v28.i27.3398
Subject(s) - medicine , hepatocellular carcinoma , ultrasound , liver fibrosis , liver cancer , fatty liver , pathology , radiology , fibrosis , disease
Artificial intelligence (AI) is playing an increasingly important role in medicine, especially in the field of medical imaging. It can be used to diagnose diseases and predict certain statuses and possible events that may happen. Recently, more and more studies have confirmed the value of AI based on ultrasound in the evaluation of diffuse liver diseases and focal liver lesions. It can assess the severity of liver fibrosis and nonalcoholic fatty liver, differentially diagnose benign and malignant liver lesions, distinguish primary from secondary liver cancers, predict the curative effect of liver cancer treatment and recurrence after treatment, and predict microvascular invasion in hepatocellular carcinoma. The findings from these studies have great clinical application potential in the near future. The purpose of this review is to comprehensively introduce the current status and future perspectives of AI in liver ultrasound.