Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	62285
Country	China

Received	2021-01-06 14:38
Peer-Review Started	2021-01-06 14:39
To Make the First Decision
Return for Revision	2021-02-14 06:31
Revised	2021-02-25 08:24
Second Decision	2021-03-15 13:14
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-03-16 04:05
Articles in Press	2021-03-16 04:05
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-03-27 01:34
Typeset the Manuscript	2021-04-12 07:14
Publish the Manuscript Online	2021-04-25 08:01

ISSN	2644-3236 (online)
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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Clinical value of artificial intelligence in hepatocellular carcinoma: Current status and prospect
Manuscript Source	Unsolicited Manuscript
All Author List	Peng-Sheng Yi, Chen-Jun Hu, Chen-Hui Li and Fei Yu
Funding Agency and Grant Number	Funding Agency Grant Number Project of science and Technology Department of Sichuan Province 2018JY050 Nanchong Science and Technology Bureau Project 18SXHZ0336
Corresponding Author	Fei Yu, MD, Professor, Department of Radiology, Yingshan County People's Hospital, No. 100 Danan Street, Yingshan County, Nanchong 610041, Sichuan Province, China. 358496734@qq.com
Key Words	Hepatocellular carcinoma; Artificial intelligence; Diagnosis; Prognosis; Therapy; Genomic
Core Tip	We performed electronic searching in PubMed, Web of Science and EMBASE. Artificial intelligence (AI) or in-depth learning and hepatocellular carcinoma (HCC) were used as mesh terms. We found that AI showed favorable results in early diagnosis and treatment response prediction and prognosis estimation in patients with HCC. The past decade has seen rapid advancements in AI, underlying its unique usefulness in almost every field, including that of medicine. Herein, we sought and reviewed studies and we expect that AI will be an important complementary of traditional routine in diagnosis, treatment, and prognosis estimation of HCC.
Publish Date	2021-04-25 08:01
Citation	Yi PS, Hu CJ, Li CH, Yu F. Clinical value of artificial intelligence in hepatocellular carcinoma: Current status and prospect. Artif Intell Gastroenterol 2021; 2(2): 42-55
URL	https://www.wjgnet.com/2644-3236/full/v2/i2/42.htm
DOI	https://dx.doi.org/10.35712/aig.v2.i2.42

Full Article (PDF)	AIG-2-42.pdf
Full Article (Word)	AIG-2-42.docx
Manuscript File	62285-Review-Filipodia-CL.docx
Answering Reviewers	62285-Answering reviewers.pdf
Audio Core Tip	62285-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	62285-Conflict-of-interest statement.pdf
Copyright License Agreement	62285-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	62285-Language certificate.pdf
Peer-review Report	62285-Peer-review(s).pdf
Scientific Misconduct Check	62285-Scientific misconduct check.pdf
Scientific Editor Work List	62285-Scientific editor work list.pdf