Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: A single-centre, tandem, randomised controlled trial
The Lancet: Gastroenterology & Hepatology Jul 24, 2021
Wu L, Shang R, Shang P, et al. - Researchers conducted this single-centre, randomised controlled, tandem trial to assess the impact of artificial intelligence (AI) system designed to detect focal lesions and diagnose gastric neoplasms on reducing the miss rate of gastric neoplasms in clinical practice. This trial was carried out at Renmin Hospital of Wuhan University, China. Participants in the study were patients (≥ 18 years old) who undergo routine upper gastrointestinal endoscopy for screening, surveillance, or investigation of symptoms. Using a computer-generated random numerical series and block randomisation (block size of four), patients were randomly assigned (1:1) to the AI-first or routine-first group. Between July 6, 2020, and December 11, 2020, 907 patients were randomly assigned to the AI-first group and 905 to the routine-first group. The use of an AI system during upper gastrointestinal endoscopy significantly reduced the rate of missed gastric neoplasms. AI-assisted endoscopy has the potential to increase endoscopists' yield of gastric neoplasms.
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