Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024.

ABSTRACT: Artificial intelligence (AI) methods enable humans to analyse large amounts of data, which would otherwise not be feasibly quantifiable. This is especially true for unstructured visual and textual data, which can contain invaluable insights into disease. The hepatology research landscape is complex and has generated large amounts of data to be mined. Many open questions can potentially be addressed with existing data through AI methods. However, the field of AI is sometimes obscured by hype cycles and imprecise terminologies. This can conceal the fact that numerous hepatology research groups already use AI methods in their scientific studies. In this review article, we aim to assess the contemporaneous use of AI methods in hepatology in Europe. To achieve this, we systematically surveyed a

SUBMITTER: Zigutyte L 

PROVIDER: S-EPMC11585758 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature