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Artif Intell Gastroenterol. Oct 28, 2022; 3(4): 96-104
Published online Oct 28, 2022. doi: 10.35712/aig.v3.i4.96
Role of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma
Rajesh Kumar Mokhria, Jasbir Singh
Rajesh Kumar Mokhria, Government Model Sanskriti Senior Secondary School, Chulkana, 132101, Panipat, Haryana, India
Jasbir Singh, Department of Biochemistry, Kurukshetra University, Kurukshetra, 136119, Haryana, India
Author contributions: Mokhria RK designed the outline, performed data acquisition, contributed to the majority of the writing, and proofread the paper; Singh J coordinated the writing of the paper and proofread the paper.
Conflict-of-interest statement: There is no conflict of interest associated with any of the senior authors or other coauthors who contributed their efforts to this manuscript.
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:
Corresponding author: Rajesh Kumar Mokhria, PhD, Biology Lecturer, Government Model Sanskriti Senior Secondary School, Chulkana, Panipat 132101, Haryana, India.
Received: June 7, 2022
Peer-review started: June 7, 2022
First decision: July 14, 2022
Revised: July 30, 2022
Accepted: September 13, 2022
Article in press: September 13, 2022
Published online: October 28, 2022
Core Tip

Core Tip: Globally, hepatocellular carcinoma is a major cause of illness and fatality. Although substantial progress has been made in the treatment strategy for hepatocellular carcinoma, managing it is still a major issue. Artificial intelligence in the area of gastroenterology, especially in hepatology, is particularly useful for various investigations of hepatocellular carcinoma because it is a commonly found tumor and has specific radiological features that enable diagnostic procedures without the requirement of histological study. Artificial intelligence is utilized to diagnose, curative and prediction goals.