Development of an artificial intelligence-based multimodal diagnostic system for early detection of biliary atresia

Development of an artificial intelligence-based multimodal diagnostic system for early detection of biliary atresia

Abstract Background Early diagnosis of biliary atresia (BA) is crucial for improving patient outcomes, yet remains a significant global challenge. This challenge may be ameliorated through the application of artificial intelligence (AI). Despite the promise of AI in medical diagnostics, its applicat...

Full description

Saved in:
Bibliographic Details
Main Authors: Ya Ma, Yuancheng Yang, Yuxin Du, Luyang Jin, Baoyu Liang, Yuqi Zhang, Yedi Wang, Luyu Liu, Zijian Zhang, Zelong Jin, Zhimin Qiu, Mao Ye, Zhengrong Wang, Chao Tong
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Medicine
Subjects:
Biliary atresia
Multimodal
Artificial intelligence
Cholestasis
Children
Online Access:https://doi.org/10.1186/s12916-025-03962-x
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12916-025-03962-x

Similar Items