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Review
. 2023 May 1;39(3):175-180.
doi: 10.1097/MOG.0000000000000926. Epub 2023 Mar 1.

The role of artificial intelligence in hepatology research and practice

Ali Khalifa  1 , Jihad S Obeid  2 , Jason Erno  1 , Don C Rockey  1
Affiliations
Review

The role of artificial intelligence in hepatology research and practice

Ali Khalifa et al. Curr Opin Gastroenterol. .

Abstract

Purpose of review: The use of artificial intelligence (AI) in examining large data sets has recently gained considerable attention to evaluate disease epidemiology, management approaches, and disease outcomes. The purpose of this review is to summarize the current role of AI in contemporary hepatology practice.

Recent findings: AI was found to be diagnostically valuable in the evaluation of liver fibrosis, detection of cirrhosis, differentiation between compensated and decompensated cirrhosis, evaluation of portal hypertension, detection and differentiation of particular liver masses, preoperative evaluation of hepatocellular carcinoma as well as response to treatment and estimation of graft survival in patients undergoing liver transplantation. AI additionally holds great promise in examination of structured electronic health records data as well as in examination of clinical text (using various natural language processing approaches). Despite its contributions, AI has several limitations, including the quality of existing data, small cohorts with possible sampling bias and the lack of well validated easily reproducible models.

Summary: AI and deep learning models have extensive applicability in assessing liver disease. However, multicenter randomized controlled trials are indispensable to validate their utility.

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References

    1. Underlying cause of death 1999–2019 on CDC WONDER Online Database, released in 2020.
    1. Desai AP, Mohan P, Nokes B, et al. Increasing economic burden in hospitalized patients with cirrhosis: analysis of a national database. Clin Transl Gastroenterol 2019; 10:e00062.
    1. Li R, Yang Y, Lin H. The critical need to establish standards for data quality in intelligent medicine. Intell Med 2021; 1:49–50.
    1. Soysal E, Wang J, Jiang M, et al. CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines. J Am Med Inform Assoc 2018; 25:331–336.
    1. Aronson AR, Lang FM. An overview of MetaMap: historical perspective and recent advances. J Am Med Inform Assoc 2010; 17:229–236.