e-ISSN: Pending
Replication FailureOpen accessMedicine· cited by 9

Effect of a Computer-Aided Device for Detecting Gastric Neoplasms: A Multicenter, Randomized Controlled Trial

Zehua Dong; Lianlian Wu; Hongliu Du; Xiao Tao; Junxiao Wang; Xiaoquan Zeng; Yijie Zhu; Si Tan · 2026 · Gastroenterology

WASTE classifies this as Replication Failure · AI classification, approximate

A previously reported effect did not replicate here — verify it holds before you build on it.

Abstract

BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in multicenter, randomized controlled trials is lacking. We aimed to explore whether AI can enhance gastric neoplasm detection. METHODS: Participants from 24 hospitals in China from December 21, 2021, to November 11, 2023, were randomized to AI-assisted or nonassisted esophagogastroduodenoscopy. Primary outcome was detection rate of gastric neoplasms after pathologic review. Secondary outcomes included detection rate of gastric neoplasms before review, relative early gastric cancer detection ratio,

Abstract by Zehua Dong; Lianlian Wu; Hongliu Du; Xiao Tao; Junxiao Wang; Xiaoquan Zeng; Yijie Zhu; Si Tan, Gastroenterology (2026) — licensed CC BY 4.0.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.1053/j.gastro.2025.12.020