Diagnosing acute bilirubin encephalopathy in neonates using MRI-based deep learning model
This study integrated clinical and radiological data into DL models to accurately diagnose ABE, close to the proficiency level of senior radiologists. It provides a convenient, low-cost evaluation model for patient management decisions and physician diagnoses.
Authors
- Kun Huang (ORCID: https://orcid.org/0000-0002-0808-2325)
- Qinzhu Yang (ORCID: https://orcid.org/0000-0001-9025-7907)
- Wenbin Zheng (ORCID: https://orcid.org/0000-0002-1750-4999)
- Gengbiao Zhang
- Hongyi Zheng (ORCID: https://orcid.org/0000-0003-2378-5261)
- Jin Wang (ORCID: https://orcid.org/0000-0003-1132-0088)
- Yuan Gao (ORCID: https://orcid.org/0000-0002-0507-6499)
Institutions
- Shenzhen University (CN)
- Shantou University (CN)
- Second Affiliated Hospital of Shantou University Medical College (CN)
- Shenzhen University Health Science Center (CN)
Publication Details
- Journal
- BMC Pediatrics
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1186/s12887-025-06150-1
- Primary Topic
- Neonatal Health and Biochemistry
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shenzhen Key Laboratory Fund