Artificial intelligence enhances the management of esophageal squamous cell carcinoma in the precision oncology era

doi:10.3748/wjg.v30.i39.4267

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Oct 21, 2024 (publication date) through Oct 13, 2024

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastroenterol. Oct 21, 2024; 30(39): 4267-4280
Published online Oct 21, 2024. doi: 10.3748/wjg.v30.i39.4267

Artificial intelligence enhances the management of esophageal squamous cell carcinoma in the precision oncology era

Wan-Yue Zhang, Yong-Jian Chang, Rui-Hua Shi

Wan-Yue Zhang, School of Medicine, Southeast University, Nanjing 221000, Jiangsu Province, China

Yong-Jian Chang, School of Cyber Science and Engineering, Southeast University, Nanjing 210009, Jiangsu Province, China

Rui-Hua Shi, Department of Gastroenterology, Zhongda Hospital, Southeast University, Nanjing 210009, Jiangsu Province, China

Author contributions: Zhang WY contributed to planning and conducting the study, writing - original draft, conceptualization; Chang YJ contributed to writing - review & editing; Shi RH contributed to supervision, conceptualization.

Conflict-of-interest statement: The authors declare that they have no conflict 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: https://creativecommons.org/Licenses/by-nc/4.0/

Corresponding author: Rui-Hua Shi, PhD, Department of Gastroenterology, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing 210009, Jiangsu Province, China. ruihuashi@126.com

Received: April 28, 2024
Revised: August 31, 2024
Accepted: September 19, 2024
Published online: October 21, 2024
Processing time: 166 Days and 13.1 Hours

Core Tip

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.