Publication Name	World Journal of Gastroenterology
Manuscript ID	96173
Country	China

Received	2024-04-28 14:39
Peer-Review Started	2024-04-28 14:39
To Make the First Decision
Return for Revision	2024-08-17 06:51
Revised	2024-08-31 05:22
Second Decision	2024-09-19 02:43
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-09-19 07:56
Articles in Press	2024-09-19 07:56
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-09-27 05:16
Publish the Manuscript Online	2024-10-12 03:43

ISSN	1007-9327 (print) and 2219-2840 (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: https://creativecommons.org/licenses/by-nc/4.0/
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Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Artificial intelligence enhances the management of esophageal squamous cell carcinoma in the precision oncology era
Manuscript Source	Unsolicited Manuscript
All Author List	Wan-Yue zhang, Yong-Jian Chang and Rui-Hua Shi
ORCID	Author(s) ORCID Number Rui-Hua Shi http://orcid.org/0000-0003-4977-8801
Funding Agency and Grant Number
Corresponding Author	Rui-Hua Shi, PhD, N/A, N/A, Department of Gastroenterology, Southeast University Affiliated Zhongda Hospital, Medical School, No. 87 Dingjiaqiao, Nanjing 210009, Jiangsu Province, China. ruihuashi@126.com
Key Words	Esophageal squamous cell carcinoma; Artificial intelligence; Deep learning; Machine learning; Precision tumor therapy
Core Tip	This article provides an overview of the current status of esophageal squamous cell carcinoma (ESCC) diagnosis and treatment, emphasizing the pivotal role of artificial intelligence (AI)-based predictive models in enhancing the precision of ESCC management. It outlines the existing challenges and opportunities associated with the integration of AI technologies in the diagnosis and treatment of ESCC. Furthermore, the article discusses the future research directions necessary to advance the practical application of AI in clinical settings, aiming to improve the accuracy and efficacy of ESCC care.
Publish Date	2024-10-12 03:43
Citation	<p>zhang WY, Chang YJ, Shi RH. Artificial intelligence enhances the management of esophageal squamous cell carcinoma in the precision oncology era. <i>World J Gastroenterol</i> 2024; 30(39): 4267-4280</p>
URL	https://www.wjgnet.com/1007-9327/full/v30/i39/4267.htm
DOI	https://dx.doi.org/10.3748/wjg.v30.i39.4267

Full Article (PDF)	WJG-30-4267-with-cover.pdf
Manuscript File	96173_Auto_Edited_092103.docx
Answering Reviewers	96173-answering-reviewers.pdf
Audio Core Tip	96173-audio.mp3
Conflict-of-Interest Disclosure Form	96173-conflict-of-interest-statement.pdf
Copyright License Agreement	96173-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	96173-non-native-speakers.pdf
Peer-review Report	96173-peer-reviews.pdf
Scientific Misconduct Check	96173-scientific-misconduct-check.png
Scientific Editor Work List	96173-scientific-editor-work-list.pdf
CrossCheck Report	96173-crosscheck-report.png
CrossCheck Report	96173-crosscheck-report.pdf