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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

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

Original Article
Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods
Seung Mi Lee, Suhyun Hwangbo, Errol R. Norwitz, Ja Nam Koo, Ig Hwan Oh, Eun Saem Choi, Young Mi Jung, Sun Min Kim, Byoung Jae Kim, Sang Youn Kim, Gyoung Min Kim, Won Kim, Sae Kyung Joo, Sue Shin, Chan-Wook Park, Taesung Park, Joong Shin Park
Clin Mol Hepatol. 2022;28(1):105-116.   Published online October 15, 2021

Clinical and

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

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