A study on the improvement in the ability of endoscopists to diagnose gastric neoplasms using an artificial intelligence system.

ABSTRACT:

Background

Artificial intelligence-assisted gastroscopy (AIAG) based on deep learning has been validated in various scenarios, but there is a lack of studies regarding diagnosing neoplasms under white light endoscopy. This study explored the potential role of AIAG systems in enhancing the ability of endoscopists to diagnose gastric tumor lesions under white light.

Methods

A total of 251 patients with complete pathological information regarding electronic gastroscopy, biopsy, or ESD surgery in Xi'an Gaoxin Hospital were retrospectively collected and comprised 64 patients with neoplasm lesions (excluding advanced cancer) and 187 patients with non-neoplasm lesions. The diagnosis competence of endoscopists with intermediate experience and experts was compared for gastric neoplas

SUBMITTER: Zhang B 

PROVIDER: S-EPMC10859510 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature