Artificial intelligence alert system based on intraluminal view for colonoscopy intubation

Artificial intelligence alert system based on intraluminal view for colonoscopy intubation

Abstract Mucosal contact of the tip of colonoscopy causes red-out views, and more pressure may result in perforation. There is still a lack of quantitative analysis methods for red-out views. We aimed to develop an artificial intelligence (AI)-based system to assess red-out views during intubation i...

Full description

Saved in:
Bibliographic Details
Main Authors: Yigeng Huang, Suwen Li, Syeda Sadia Rubab, Junjun Bao, Cui Hu, Jianglong Hong, Xiaofei Ren, Xiaochang Liu, Lixiang Zhang, Jian Huang, Huizhong Gan, Xiaolan Zhou, Jie Cao, Dong Fang, Zhenwang Shi, Huanqin Wang, Qiao Mei
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Colonoscopy
Intubation
Feedback
Online Access:https://doi.org/10.1038/s41598-025-99725-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items