Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/27105
Title: Artificial Intelligence in Hepatology: A Narrative Review.
Austin Authors: Vaz, Karl;Goodwin, Thomas;Kemp, William;Roberts, Stuart;Majeed, Ammar
Affiliation: Gastroenterology and Hepatology
Department of Gastroenterology, The Alfred Hospital, Melbourne, Australia
Central Clinical School, Monash University, Melbourne, Australia
Issue Date: Nov-2021
Date: 2021-07-29
Publication information: Seminars in Liver Disease 2021; 41(4): 551-556
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.
URI: https://ahro.austin.org.au/austinjspui/handle/1/27105
DOI: 10.1055/s-0041-1731706
Journal: Seminars in Liver Disease
PubMed URL: 34327698
Type: Journal Article
Subjects: Hepatology
Artificial intelligence
Appears in Collections:Journal articles

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