Semin Liver Dis 2021; 41(04): 551-556
DOI: 10.1055/s-0041-1731706
Review Article

Artificial Intelligence in Hepatology: A Narrative Review

Karl Vaz
1  Department of Gastroenterology and Hepatology, Austin Health, Melbourne, Australia
,
Thomas Goodwin
2  Department of Gastroenterology, The Alfred Hospital, Melbourne, Australia
,
William Kemp
2  Department of Gastroenterology, The Alfred Hospital, Melbourne, Australia
3  Central Clinical School, Monash University, Melbourne, Australia
,
Stuart Roberts
2  Department of Gastroenterology, The Alfred Hospital, Melbourne, Australia
3  Central Clinical School, Monash University, Melbourne, Australia
,
Ammar Majeed
2  Department of Gastroenterology, The Alfred Hospital, Melbourne, Australia
3  Central Clinical School, Monash University, Melbourne, Australia
› Author Affiliations

Abstract

There has been a tremendous growth in data collection in hepatology over the last decade. This wealth of “big data” lends itself to the application of artificial intelligence in the development of predictive and diagnostic models with potentially greater accuracy than standard biostatistics. As processing power of computing systems has improved and data are made more accessible through the large databases and electronic health record, these more contemporary techniques for analyzing and interpreting data have garnered much interest in the field of medicine. This review highlights the current evidence base for the use of artificial intelligence in hepatology, focusing particularly on the areas of diagnosis and prognosis of advanced chronic liver disease and hepatic neoplasia.

Author Contributions

All authors contributed to the drafting and/or review of the paper.


Supplementary Material



Publication History

Publication Date:
29 July 2021 (online)

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