Efficacy of artificial intelligence in reducing miss rates of GI adenomas, polyps, and sessile serrated lesions: a meta-analysis of randomized controlled trials.

Journal: Gastrointestinal endoscopy

PMID: 38184117

Abstract

BACKGROUND AND AIMS: The aim of this study was to determine if utilization of artificial intelligence (AI) in the course of endoscopic procedures can significantly diminish both the adenoma miss rate (AMR) and the polyp miss rate (PMR) compared with standard endoscopy.

Authors

Xi-Feng Jin

Department of Gastroenterology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China. Electronic address: xfj2022@zju.edu.cn.
Hong-Yan Ma

Tengzhou Central People's Hospital, Shandong Province, Zaozhuang, China.
Jun-Wen Shi

Tengzhou Central People's Hospital, Shandong Province, Zaozhuang, China.
Jian-Ting Cai

Department of Gastroenterology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.

Keywords

Adenoma Artificial Intelligence Colonic Polyps Colorectal Neoplasms Endoscopy, Gastrointestinal Humans Missed Diagnosis Randomized Controlled Trials as Topic

External Resources

View on PubMed Access via DOI PubMed (38184117)

Efficacy of artificial intelligence in reducing miss rates of GI adenomas, polyps, and sessile serrated lesions: a meta-analysis of randomized controlled trials.

Abstract

Authors

Keywords

External Resources

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