Development and validation of a multi-modality system combining radiomics and deep learning for predicting mid-pregnancy complications and enabling timely pregnancy care
This enables accurate early prediction of HDP and GDM. This non-invasive tool supports tailored prenatal care, with potential to improve outcomes. Further validation in diverse groups is needed.
Authors
- Yaohua Mai (ORCID: https://orcid.org/0000-0002-3795-361X)
- Yuhong Huang (ORCID: https://orcid.org/0000-0003-2773-8358)
- Zhizhen Guo
- Juan Guo
- Yan Liang (ORCID: https://orcid.org/0009-0006-8061-1769)
- Baoqiang Shi
- Limei Shang
- Z. Y. Zhang (ORCID: https://orcid.org/0009-0004-7765-2549)
- Side Xi
Institutions
- Singularity University (US)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Pingliang People's Hospital (CN)
- SingularLogic (Greece) (GR)
- Southern Medical University (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2025-12-18
- DOI
- https://doi.org/10.3389/fped.2025.1716073
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00