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Review
. 2024 Dec 23:17:26317745241306562.
doi: 10.1177/26317745241306562. eCollection 2024 Jan-Dec.

Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review

Hang Viet Dao  1   2   3 , Binh Phuc Nguyen  4 , Tung Thanh Nguyen  4 , Hoa Ngoc Lam  4 , Trang Thi Huyen Nguyen  4 , Thao Thi Dang  4 , Long Bao Hoang  4 , Hung Quang Le  3 , Long Van Dao  2   3   4
Affiliations
Review

Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review

Hang Viet Dao et al. Ther Adv Gastrointest Endosc. .

Abstract

The utilization of artificial intelligence (AI) in gastrointestinal (GI) endoscopy has witnessed significant progress and promising results in recent years worldwide. From 2019 to 2023, the European Society of Gastrointestinal Endoscopy has released multiple guidelines/consensus with recommendations on integrating AI for detecting and classifying lesions in practical endoscopy. In Vietnam, since 2019, several preliminary studies have been conducted to develop AI algorithms for GI endoscopy, focusing on lesion detection. These studies have yielded high accuracy results ranging from 86% to 92%. For upper GI endoscopy, ongoing research directions comprise image quality assessment, detection of anatomical landmarks, simulating image-enhanced endoscopy, and semi-automated tools supporting the delineation of GI lesions on endoscopic images. For lower GI endoscopy, most studies focus on developing AI algorithms for colorectal polyps' detection and classification based on the risk of malignancy. In conclusion, the application of AI in this field represents a promising research direction, presenting challenges and opportunities for real-world implementation within the Vietnamese healthcare context.

Keywords: artificial intelligence; colorectal polyp; gastrointestinal endoscopy; upper GI lesion.

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Conflict of interest statement

All authors contributed substantially to generating ideas, conducting research, writing reports, editing, and revising the article. The final version was reviewed and approved by all authors. There were no conflicts of interest among the authors.

Figures

Figure 1.
Figure 1.
Endoscopy images of colorectal polyps with AI-generated labels. AI, artificial intelligence.
Figure 2.
Figure 2.
The BKAI-IGH NeoPolyp dataset and classification labels.
Figure 3.
Figure 3.
The upper GI endoscopy image database storage system has been labeled. GI, gastrointestinal.
See this image and copyright information in PMC

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