Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	121906
DOI	10.35712/aig.121906
Country	Ethiopia

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence applications in exposed endoscopic full-thickness resection vs thoracoscopic surgery for complex esophageal subepithelial lesions: Narrative review
Manuscript Source	Invited Manuscript
All Author List	Gemechu Dereje Feyissa
Funding Agency and Grant Number
Corresponding Author	Gemechu Dereje Feyissa, Assistant Professor, Department of Public Health, Faculty of Health Sciences, Rift Valley University, Hangatu District, Dabe Sub-City, Adama 1715, Oromīa, Ethiopia. gemechudereje80@gmail.com
Key Words	Artificial intelligence; Endoscopic full-thickness resection; Thoracoscopic surgery; Subepithelial lesions; Esophageal tumors; Machine learning; Endoscopic ultrasound; Computer-aided detection
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.
Citation	Feyissa GD. Artificial intelligence applications in exposed endoscopic full-thickness resection vs thoracoscopic surgery for complex esophageal subepithelial lesions: Narrative review. Artif Intell Gastroenterol 2026; In press DOI: https://doi.org/10.35712/aig.121906
PDF	121906-in-press.pdf

Received	2026-04-07 07:33
Peer-Review Started	2026-04-07 07:36
First Decision by Editorial Office Director	2026-04-30 00:29
Return for Revision	2026-04-30 00:29
Revised	2026-05-14 00:42
Publication Fee Transferred
Second Decision by Editor	2026-06-11 02:39
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-11 07:29
Articles in Press	2026-06-11 07:29
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3236 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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