Artificial intelligence applications in exposed endoscopic full-thickness resection vs thoracoscopic surgery for complex esophageal subepithelial lesions: Narrative review

doi:10.35712/aig.121906

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Artificial Intelligence in Gastroenterology

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2644-3236

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

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

Artif Intell Gastroenterol. Aug 8, 2026; 7(2): 121906
Published online Aug 8, 2026. doi: 10.35712/aig.121906

Artificial intelligence applications in exposed endoscopic full-thickness resection vs thoracoscopic surgery for complex esophageal subepithelial lesions: Narrative review

Gemechu Dereje Feyissa

Gemechu Dereje Feyissa, Department of Public Health, Faculty of Health Sciences, Rift Valley University, Adama 1715, Oromīa, Ethiopia

Author contributions: Feyissa GD conceptualized the review, drafted and revised the manuscript, and approved the final version.

AI contribution statement: No AI tools used for conceptualization, synthesis, analysis, or original text. Perplexity AI used solely for final grammar/Language polishing (sentence restructuring, redundancy removal) without changing science. All AI-generated outputs were critically reviewed and revised by the authors.

Conflict-of-interest statement: Author declares that there is no conflict of interest.

Corresponding author: Gemechu Dereje Feyissa, Assistant Professor, Department of Public Health, Faculty of Health Sciences, Rift Valley University, East Show Zone, Adama 1715, Oromīa, Ethiopia. gemechudereje80@gmail.com

Received: April 7, 2026
Revised: May 14, 2026
Accepted: June 11, 2026
Published online: August 8, 2026
Processing time: 124 Days and 18.7 Hours

Core Tip

Core Tip: Artificial intelligence holds promise for esophageal subepithelial lesion management through endoscopic ultrasound characterization, exposed endoscopic full-thickness resection workflow support, and thoracoscopic surgery navigation; evidence is primarily adjacent/transferable, warranting procedure-specific validation.