Artificial Intelligence in Gastric Endoscopy: Decoding the Findings of a Landmark Multicenter Randomized Controlled Trial
Highlights
- In a cohort of 29,514 patients, AI assistance did not significantly improve the primary detection rate of pathologically confirmed gastric neoplasms (RR, 1.13; P = .25).
- AI integration substantially reduced procedural blind spots from a mean of 2.52 to 1.07, suggesting a major role in standardizing endoscopic quality.
- Exploratory analysis identified significant benefits for less experienced endoscopists and during periods of high clinical fatigue.
- The AI system achieved 100% diagnostic sensitivity for pathologically confirmed gastric adenocarcinoma, though its utility in low-grade intraepithelial neoplasia remains limited.
Background
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This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.