Impact of artificial intelligence in the management of esophageal, gastric and colorectal malignancies

doi:10.37126/aige.v5.i2.90704

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Jun 8, 2024 (publication date) through Feb 1, 2025

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Artificial Intelligence in Gastrointestinal Endoscopy

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2689-7164

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

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Artif Intell Gastrointest Endosc. Jun 8, 2024; 5(2): 90704
Published online Jun 8, 2024. doi: 10.37126/aige.v5.i2.90704

Table 1 Application of artificial intelligence in gastrointestinal malignancies

Esophageal cancer	Lesion characterization (Barrett's esophagus vs dysplasia vs ESCC[7-9]
	Predicting histological response to therapy[30-32]
	Prognostic assessment[33-37]
Gastric cancer	Endoscopic detection of early GC[44-46]
	Differentiation between stage IV GC and PGL[48,49]
	Accurate TNM staging[54-57]
Colon cancer	Higher adenoma detection, reduced neoplasia“miss rate"[72-74]
	Superior LNM estimation[81-85]
	Intraoperative guidance during colorectal resection[92-95]

ESCC: Esophageal squamous cell cancer, GC: Gastric cancer, PGL: Primary gastric lymphoma, LNM: Lymph node metastases.

Citation: Bangolo A, Wadhwani N, Nagesh VK, Dey S, Tran HHV, Aguilar IK, Auda A, Sidiqui A, Menon A, Daoud D, Liu J, Pulipaka SP, George B, Furman F, Khan N, Plumptre A, Sekhon I, Lo A, Weissman S. Impact of artificial intelligence in the management of esophageal, gastric and colorectal malignancies. Artif Intell Gastrointest Endosc 2024; 5(2): 90704
URL: https://www.wjgnet.com/2689-7164/full/v5/i2/90704.htm
DOI: https://dx.doi.org/10.37126/aige.v5.i2.90704