Development and validation of a minimally invasive diagnostic model for biliary atresia using artificial intelligence
An AI model combining ultrasound and serum MMP-7 demonstrated robust high sensitivity and specificity in the differential diagnosis of BA.
Authors
- Weili Yan (ORCID: https://orcid.org/0000-0002-7633-7449)
- Jingying Jiang (ORCID: https://orcid.org/0000-0002-4925-3389)
- Zhongxi Zhang (ORCID: https://orcid.org/0000-0002-8992-1839)
- Jin Zhu
- Henkjan J. Verkade (ORCID: https://orcid.org/0000-0002-7034-2861)
- Zhen Shen (ORCID: https://orcid.org/0000-0002-6287-6169)
- Xiaoli Xie (ORCID: https://orcid.org/0000-0003-4179-6087)
- Shan Zheng (ORCID: https://orcid.org/0000-0002-9712-4573)
- Rui Dong (ORCID: https://orcid.org/0000-0001-9645-4768)
- Jianjun Zhang (ORCID: https://orcid.org/0000-0002-9853-3416)
- Gong Chen (ORCID: https://orcid.org/0009-0004-0908-8499)
- Zhi-Bo Zhang
- Min Du (ORCID: https://orcid.org/0000-0002-0059-3243)
- Yinghua Sun
- Yifan Yang (ORCID: https://orcid.org/0000-0002-2272-8161)
- Xiao Cai
Institutions
- University Medical Center Groningen (NL)
- University of Groningen (NL)
- Zunyi Medical University (CN)
- Cornell University (US)
- Chengdu Women's and Children's Central Hospital (CN)
- Xuzhou Children Hospital (CN)
- Children's Hospital of Fudan University (CN)
- Children’s Hospital of Fudan University Xiamen Branch (CN)
- Affiliated Hospital of Zunyi Medical College (CN)
- China Medical University (CN)
Publication Details
- Journal
- World Journal of Pediatrics
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1007/s12519-025-00988-2
- Citations
- 1
- Primary Topic
- Pediatric Hepatobiliary Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- National Natural Science Foundation of China
- Fudan University