Interpretable artificial intelligence-based app assists inexperienced radiologists in diagnosing biliary atresia from sonographic gallbladder images

Interpretable artificial intelligence-based app assists inexperienced radiologists in diagnosing biliary atresia from sonographic gallbladder images

Abstract Background A previously trained deep learning-based smartphone app provides an artificial intelligence solution to help diagnose biliary atresia from sonographic gallbladder images, but it might be impractical to launch it in real clinical settings. This study aimed to redevelop a new model...

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Bibliographic Details
Main Authors: Wenying Zhou, Zejun Ye, Guangliang Huang, Xiaoer Zhang, Ming Xu, Baoxian Liu, Bowen Zhuang, Zijian Tang, Shan Wang, Dan Chen, Yunxiang Pan, Xiaoyan Xie, Ruixuan Wang, Luyao Zhou
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Medicine
Subjects:
Biliary atresia
Deep learning
Smartphone app
Gallbladder
Ultrasonography
Online Access:https://doi.org/10.1186/s12916-024-03247-9

Internet

https://doi.org/10.1186/s12916-024-03247-9

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