Publication Name	World Journal of Gastroenterology
Manuscript ID	105076
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Recent advances in machine learning for precision diagnosis and treatment of esophageal disorders
Manuscript Source	Unsolicited Manuscript
All Author List	Shao-Wen Liu, Peng Li, Xiao-Qing Li, Qi Wang, Jin-Yu Duan, Jin Chen, Ru-Hong Li and Yang-Fan Guo
Funding Agency and Grant Number	Funding Agency Grant Number Central Funds Guiding the Local Science and Technology Development No. 202207AB110017 Key Research and Development Program of Yunnan No. 202302AD080004 Yunnan Academician and Expert Workstation No. 202205AF150023 Scientific and Technological Innovation Team in Kunming Medical University No. CXTD202215
Corresponding Author	Yang-Fan Guo, Associate Professor, Precision Medicine Center, Yan’an Hospital Affiliated to Kunming Medical University, No. 245 East Renmin Road, Kunming 650051, Yunnan Province, China. guoyangfan@kmmu.edu.cn
Key Words	Esophageal disorders; Machine learning; Gastroesophageal reflux disease; Esophageal cancer; Barrett’s esophagus; Achalasia; Clinical decision support system
Core Tip	This review synthesizes machine learning (ML) applications in esophageal disorders, emphasizing three critical advances: (1) Automated analysis of multimodal diagnostic data achieving accuracy rates of 80%-95% across different conditions; (2) Integration of deep learning with endoscopic imaging enabling real-time assistance in diagnosis and risk stratification; and (3) Development of novel non-invasive screening approaches through ML-based biomarker identification. The convergence of artificial intelligence with clinical medicine demonstrates transformative potential in addressing current diagnostic challenges and enabling precision medicine in esophageal disease management.
Citation	Liu SW, Li P, Li XQ, Wang Q, Duan JY, Chen J, Li RH, Guo YF. Recent advances in machine learning for precision diagnosis and treatment of esophageal disorders. World J Gastroenterol 2025; In press

Received	2025-01-22 10:18
Peer-Review Started	2025-01-22 10:18
To Make the First Decision
Return for Revision	2025-04-20 04:06
Revised	2025-05-03 07:32
Second Decision	2025-06-05 02:41
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-06-05 07:24
Articles in Press	2025-06-05 07:24
Publication Fee Transferred	2025-05-07 05:13
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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