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

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

BackgroundArtificial 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...

Full description

Bibliographic Details
Main Authors: Bojiang Zhang, Wei Zhang, Hongjuan Yao, Jinggui Qiao, Haimiao Zhang, Ying Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
AI-assisted gastroscopy
endoscopists
gastric neoplasm
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1323516/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2024.1323516/full

Similar Items