An interpretable artificial intelligence system for detecting risk factors of gastroesophageal variceal bleeding

An interpretable artificial intelligence system for detecting risk factors of gastroesophageal variceal bleeding

Abstract Bleeding risk factors for gastroesophageal varices (GEV) detected by endoscopy in cirrhotic patients determine the prophylactical treatment patients will undergo in the following 2 years. We propose a methodology for measuring the risk factors. We create an artificial intelligence system (E...

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Bibliographic Details
Main Authors: Jing Wang, Zhengqiang Wang, Mingkai Chen, Yong Xiao, Shi Chen, Lianlian Wu, Liwen Yao, Xiaoda Jiang, Jiao Li, Ming Xu, Mengjuan Lin, Yijie Zhu, Renquan Luo, Chenxia Zhang, Xun Li, Honggang Yu
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-022-00729-z

Internet

https://doi.org/10.1038/s41746-022-00729-z

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