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Artif Intell Gastroenterol. Oct 28, 2021; 2(5): 133-140
Published online Oct 28, 2021. doi: 10.35712/aig.v2.i5.133
Application of artificial intelligence in liver diseases: From diagnosis to treatment
Qiong Li, Jun-Feng Li, Xiao-Rong Mao
Qiong Li, The First Clinical Medical College, Lanzhou University, Lanzhou 730000, Gansu Province, China
Jun-Feng Li, Department of Infectious Diseases & Institute of Infectious Diseases, the First Hospital of Lanzhou University, Lanzhou 730000, Gansu Province, China
Xiao-Rong Mao, Department of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou 730000, Gansu Province, China
Author contributions: Li Q collected and screened references, wrote original draft; Mao XR and Li JF supervised, reviewed, edited the manuscript and made the funding acquisition; All authors have read and approve the final manuscript.
Supported by National Natural Science Foundation, No. 81800528; the Natural Science Foundation of Gansu Province, No. 20JR5RA364; Key Research and Development Project of Gansu Province, No. 20YF2FA011; and the Health Industry Research Project in Gansu Province, No. GSWSKY2018–24.
Conflict-of-interest statement: Authors declare that they have no conflicts of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Xiao-Rong Mao, MD, Chief Physician, Department of Infectious Diseases, The First Hospital of Lanzhou University, No. 1 Donggangxi Road, Lanzhou 730000, Gansu Province, China. mxr2013@126.com
Received: June 30, 2021
Peer-review started: June 30, 2021
First decision: July 28, 2021
Revised: August 9, 2021
Accepted: August 31, 2021
Article in press: August 31, 2021
Published online: October 28, 2021
Processing time: 118 Days and 16.9 Hours
Abstract

Infectious or noninfectious liver disease has inexorably risen as one of the leading causes of global death and disease burden. There were an estimated 2.14 million liver-related deaths in 2017, representing an 11.4% increase since 2012. Traditional diagnosis and treatment methods have various dilemmas in different causes of liver disease. As a hot research topic in recent years, the application of artificial intelligence (AI) in different fields has attracted extensive attention, and new technologies have brought more ideas for the diagnosis and treatment of some liver diseases. Machine learning (ML) is the core of AI and the basic way to make a computer intelligent. ML technology has many potential uses in hepatology, ranging from exploring new noninvasive means to predict or diagnose different liver diseases to automated image analysis. The application of ML in liver diseases can help clinical staff to diagnose and treat different liver diseases quickly, accurately and scientifically, which is of importance for reducing the incidence and mortality of liver diseases, reducing medical errors, and promoting the development of medicine. This paper reviews the application and prospects of AI in liver diseases, and aims to improve clinicians’ awareness of the importance of AI in the diagnosis and treatment of liver diseases.

Keywords: Artificial intelligence; Machine learning; Liver disease; Diagnosis; Treatment; Prognosis

Core tip: Liver disease has inexorably risen as one of the leading causes of global death and disease burden. As a hot research topic in recent years, the application of artificial intelligence (AI) in medical fields has attracted extensive attention. The application of machine learning in the liver diseases can help clinical staff to diagnose and treat different liver diseases quickly, accurately and scientifically, which is of importance for reducing the incidence and mortality of liver diseases, reducing medical errors, and promoting the development of medicine. This paper reviews the application and prospects of AI in liver diseases.