Artificial intelligence and computer-aided diagnosis for colonoscopy: where do we stand now?

被引：20

作者：

Kudo, Shin-Ei ^{[1
]}

Mori, Yuichi ^{[1
]}

Abdel-aal, Usama M. ^{[1
,2
]}

Misawa, Masashi ^{[1
]}

Itoh, Hayato ^{[3
]}

Oda, Masahiro ^{[3
]}

Mori, Kensaku ^{[3
]}

机构：

[1] Showa Univ, Digest Dis Ctr, Northern Yokohama Hosp, Yokohama, Kanagawa, Japan

[2] Sohag Univ, Fac Med, Internal Med, Sohag, Egypt

[3] Nagoya Univ, Grad Sch Informat, Nagoya, Aichi, Japan

来源：

TRANSLATIONAL GASTROENTEROLOGY AND HEPATOLOGY | 2021年 / 6卷

关键词：

Computer-aided diagnosis (CAD); colon cancer; polyp; COLORECTAL POLYP HISTOLOGY; LESIONS; SYSTEM; CLASSIFICATION; CANCER; ENDOCYTOSCOPY; ENDOSCOPY; PATTERNS;

D O I：

10.21037/tgh.2019.12.14

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

Computer-aided diagnosis (CAD) for colonoscopy with use of artificial intelligence (AI) is catching increased attention of endoscopists. CAD allows automated detection and pathological prediction, namely optical biopsy, of colorectal polyps during real-time endoscopy, which help endoscopists avoid missing and/or misdiagnosing colorectal lesions. With the increased number of publications in this field and emergence of the AI medical device that have already secured regulatory approval, CAD in colonoscopy is now being implemented into clinical practice. On the other side, drawbacks and weak points of CAD in colonoscopy have not been thoroughly discussed. In this review, we provide an overview of CAD for optical biopsy of colorectal lesions with a particular focus on its clinical applications and limitations.

引用

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