A deep learning model based on magnifying endoscopy with narrow-band imaging to evaluate intestinal metaplasia grading and OLGIM staging: A multicenter study.

Wenlu NiuLeheng LiuZhixia DongXiongzhu BuFanghao YaoJing WangXiaowan WuCongying ChenTiancheng MaoYulun WuLin YuanXinjian WanHui Zhou

Published in: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver (2024)

This DL model can assist endoscopists in predicting OLGIM staging using ME-NBI without biopsy, thereby facilitating screening high-risk patients for GC.

Keyphrases

deep learning
end stage renal disease
lymph node
ejection fraction
chronic kidney disease
newly diagnosed
pet ct
high resolution
prognostic factors
machine learning
artificial intelligence
mass spectrometry
fine needle aspiration