Ultrasound artificial intelligence in the assessment of liver fibrosis

Journal Title: Chinese Journal of Clinical Research - Year 2025, Vol 38, Issue 5

Abstract

Liver fibrosis is a necessary step in the progression of various chronic liver diseases to cirrhosis and hepatocellular carcinoma, so early diagnosis of liver fibrosis is of great clinical significance. Ultrasound is the first choice for diagnosing liver fibrosisand has been used as a complementary method to liver biopsy, but it is subjective and lacks uniform quantitative standards in diagnosing liver fibrosis. In recent years, artificial intelligence (AI) has been developed and integrated into ultrasound to make up for the artificial errors of traditional ultrasound, especially imaging histology and deep learning, which can extract more features reflecting disease information from a large number of ultrasound images. Among them, the AI technology based on gray.scale ultrasound and ultrasonicelastography has achieved good staging performance and also faced some challenges. Therefore, this paper reviews the application of ultrasound AI technology in staging of liver fibrosis and the Objective challenges faced nowadays.

Authors and Affiliations

HUANG Xiulin, CHEN Chengcai, LUO Tingting, LU Jiao, LIU Anxin, FENG Shiwen

Keywords

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  • EP ID EP767674
  • DOI 10.13429/j.cnki.cjcr.2025.05.032
  • Views 21
  • Downloads 0

How To Cite

HUANG Xiulin, CHEN Chengcai, LUO Tingting, LU Jiao, LIU Anxin, FENG Shiwen (2025). Ultrasound artificial intelligence in the assessment of liver fibrosis. Chinese Journal of Clinical Research, 38(5), -. https://www.europub.co.uk/articles/-A-767674