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Review
. 2023 Dec 6:13:1239788.
doi: 10.3389/fonc.2023.1239788. eCollection 2023.

Application of artificial intelligence in endoscopic gastrointestinal tumors

Yiping Xin  1 , Qi Zhang  1 , Xinyuan Liu  1 , Bingqing Li  1 , Tao Mao  1 , Xiaoyu Li  1
Affiliations
Review

Application of artificial intelligence in endoscopic gastrointestinal tumors

Yiping Xin et al. Front Oncol. .

Abstract

With an increasing number of patients with gastrointestinal cancer, effective and accurate early diagnostic clinical tools are required provide better health care for patients with gastrointestinal cancer. Recent studies have shown that artificial intelligence (AI) plays an important role in the diagnosis and treatment of patients with gastrointestinal tumors, which not only improves the efficiency of early tumor screening, but also significantly improves the survival rate of patients after treatment. With the aid of efficient learning and judgment abilities of AI, endoscopists can improve the accuracy of diagnosis and treatment through endoscopy and avoid incorrect descriptions or judgments of gastrointestinal lesions. The present article provides an overview of the application status of various artificial intelligence in gastric and colorectal cancers in recent years, and the direction of future research and clinical practice is clarified from a clinical perspective to provide a comprehensive theoretical basis for AI as a promising diagnostic and therapeutic tool for gastrointestinal cancer.

Keywords: adenoma detection rate; artificial intelligence; colorectal cancer; deep learning; gastric cancer.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The relationship of artificial intelligence classification.
See this image and copyright information in PMC

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