Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	90096
Country	China

Received	2023-11-23 03:10
Peer-Review Started	2023-11-23 03:11
To Make the First Decision
Return for Revision	2024-01-12 09:15
Revised	2024-01-28 07:36
Second Decision	2024-03-12 02:45
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2024-03-12 06:31
Articles in Press	2024-03-12 06:31
Publication Fee Transferred
Edit the Manuscript by Language Editor	2024-03-11 12:30
Typeset the Manuscript	2024-04-26 09:48
Publish the Manuscript Online	2024-04-29 08:55

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	Computer Science, Artificial Intelligence
Manuscript Type	Editorial
Article Title	Application of artificial intelligence in the prediction of immunotherapy efficacy in hepatocellular carcinoma: Current status and prospects
Manuscript Source	Invited Manuscript
All Author List	Wei Zhang, Li-Ning Song, Yun-Fei You, Feng-Nan Qi, Xiao-Hong Cui, Ming-Xun Yi, Guang Zhu, Ren-An Chang and Hai-Jian Zhang
Funding Agency and Grant Number	Funding Agency Grant Number the National Natural Science Foundation of China 81401988 China Postdoctoral Science Foundation 2019M661907 Jiangsu Postdoctoral Science Foundation 2019K159 and 2019Z153 General Project of Jiangsu Provincial Health Committee H2023136 General Project of Nantong Municipal Health Committee MS2023013 Jiangsu Provincial Research Hospital YJXYY202204-YSB28 College student innovation program 202210304128Y and 2023103041055
Corresponding Author	Hai-Jian Zhang, MD, PhD, Professor, Research Scientist, Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, No. 20 West Temple Road, Nantong 226001, Jiangsu Province, China. hjzhang@ntu.edu.cn
Key Words	Artificial intelligence; Hepatocellular carcinoma; Immunotherapy; Predictive modeling
Core Tip	Recently, there has been a lot of progress in predicting the effect of immunotherapy for hepatocellular carcinoma using artificial intelligence, but it also faces serious challenges. Therefore, in this article we summarize and discuss these issues.
Publish Date	2024-04-29 08:55
Citation	Zhang W, Song LN, You YF, Qi FN, Cui XH, Yi MX, Zhu G, Chang RN, Zhang HJ. Application of artificial intelligence in the prediction of immunotherapy efficacy in hepatocellular carcinoma: Current status and prospects. Artif Intell Gastroenterol 2024; 5(1): 90096
URL	https://www.wjgnet.com/2644-3236/full/v5/i1/90096.htm
DOI	https://dx.doi.org/10.35712/aig.v5.i1.90096

Full Article (PDF)	AIG-5-90096-with-cover.pdf
Manuscript File	90096_Auto_Edited-LJH-Webster J-YJP.docx
Answering Reviewers	90096-Answering reviewers.pdf
Audio Core Tip	90096-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	90096-Conflict-of-interest statement.pdf
Copyright License Agreement	90096-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	90096-Grant application form(s).pdf
Peer-review Report	90096-Peer-review(s).pdf
Scientific Misconduct Check	90096-Bing-Liu JH-2.png
Scientific Misconduct Check	90096-CrossCheck.png
Scientific Editor Work List	90096-Scientific editor work list.pdf