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Artificial intelligence in hepatology

Topic: Artificial intelligence in hepatology

Guest Editor: Jeong Won Jang, M.D.
Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
E-mail: garden@catholic.ac.kr

Special Issue Introduction
With huge advances in computer science, artificial intelligence (AI) is impacting our everyday lives. The application of AI in medicine has the potential to radically change the entire healthcare industry. Currently, the subsets of AI, including machine learning, deep learning, and big data, are increasingly being used in both clinical and basic research. AI can be explored in the hepatology for all types of liver disease, especially for the diagnosis and risk estimation of liver diseases. AI-aided diagnosis facilitates the detection of tumors and characterization of hepatic lesions. AI has also been tested to assess liver fibrosis as well as to predict the patient prognosis and treatment response based on multiple parameters, including laboratory or radiological findings, and outcome data.

This special issue of Clinical and Molecular Hepatology (CMH), titled “Artificial Intelligence in Hepatology,” aims to provide an overview of the current status and future potential of AI, while discussing the challenges for AI in its application in clinical practices of hepatology.

Submission Information
For Special issue guidelines, please refer to https://www.e-cmh.org/special/guidelines.php
For Author Instructions, please refer to https://www.e-cmh.org/authors/authors.php
For Online Submission, please login at https://mc04.manuscriptcentral.com/cmh
Contacts: Han Ah Lee, Associate editor, amelia86@naver.com




Clinical and
Molecular
Hepatology

Print ISSN: 2287-2728
Online ISSN: 2287-285X


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