Artificial Intelligence as a Surrogate for Inspection Time to Assess Completeness in Esophagogastroduodenoscopy: A Prospective, Randomized, Noninferiority Study.

ABSTRACT:

Introduction

The completeness of esophagogastroduodenoscopy (EGD) is a prerequisite for detecting lesions. This study aims to explore whether the quality of complete examinations assisted by artificial intelligence (AI) would be comparable with those conducted within the guideline-recommended inspection time.

Methods

Patients referred for diagnostic, screening, or surveillance EGD were enrolled at Renmin Hospital of Wuhan University. Patients were randomly assigned to 2 groups in a 1:1 ratio. In the AI-assisted group, endoscopists completed observation of the entire upper gastrointestinal tract with AI assistance. In the control group, endoscopists were instructed to spend no less than 7 minutes on each procedure. The primary outcome was the detection rate of neoplastic lesi

SUBMITTER: Tan X 

PROVIDER: S-EPMC12180831 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature