Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps: Hype, Hope, or Help

被引：21

作者：

Cho, Bum-Joo ^{[1
]}

Bang, Chang Seok ^{[2
,3
,4
]}

机构：

[1] Hallym Univ, Coll Med, Dept Ophthalmol, Chunchon, South Korea

[2] Hallym Univ, Coll Med, Inst New Frontier Res, Chunchon, South Korea

[3] Hallym Univ, Coll Med, Dept Internal Med, Chunchon, South Korea

[4] Hallym Univ, Inst Liver & Digest Dis, Chunchon, South Korea

来源：

AMERICAN JOURNAL OF GASTROENTEROLOGY | 2020年 / 115卷 / 01期

基金：

新加坡国家研究基金会;

关键词：

AIDED DIAGNOSTIC SYSTEM; REAL-TIME; LESIONS; CANCER; PREVENTION; HISTOLOGY;

D O I：

10.14309/ajg.0000000000000476

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

Most colorectal polyps are diminutive, and malignant potential for these polyps is uncommon, especially for those in the rectosigmoid. However, many diminutive polyps are still being resected to determine whether these are adenomas or serrated/hyperplastic polyps. Resecting all the diminutive polyps is not cost-effective. Therefore, gastroenterologists have proposed optical diagnosis using image-enhanced endoscopy for polyp characterization. These technologies have achieved favorable outcomes, but are not widely available. Artificial intelligence has been used in clinical medicine to classify lesions. Here, artificial intelligence technology for the characterization of colorectal polyps is discussed in a decision-making context regarding diminutive colorectal polyps.

引用

页码：70 / 72

页数：3

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