Artificial intelligence in quantitative imaging of esophageal cancer: A review on radiomics, sarcopenia, and survival modeling

doi:10.4251/wjgo.v18.i7.119986

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Home / Archive / Volume 18, Issue 7

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Sathish S, Jain A, Sharma K, Karthika B. Artificial intelligence in quantitative imaging of esophageal cancer: A review on radiomics, sarcopenia, and survival modeling. World J Gastrointest Oncol 2026; 18(7): 119986 [DOI: 10.4251/wjgo.v18.i7.119986]

Corresponding Author of This Article

Sivan Sathish, Head, Professor, Department of Oral Medicine and Radiology, Teerthanker Mahaveer Dental College and Research Centre, Teerthanker Mahaveer University, Delhi Road, Moradabad 244001, Uttar Pradesh, India. sivansathishmfds@yahoo.co.in

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Gastroenterology & Hepatology

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review-article

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This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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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Artificial intelligence in quantitative imaging of esophageal cancer: A review on radiomics, sarcopenia, and survival modeling

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World Journal of Gastrointestinal Oncology

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1948-5204

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

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Sathish S, Jain A, Sharma K, Karthika B. Artificial intelligence in quantitative imaging of esophageal cancer: A review on radiomics, sarcopenia, and survival modeling. World J Gastrointest Oncol 2026; 18(7): 119986 [DOI: 10.4251/wjgo.v18.i7.119986]

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