Needle-Free Prediction of Fetal Lung Maturity Using Vaginal Fluid Extracellular Vesicles
This cohort study evaluates a deep learning model’s accuracy in predicting the need for neonatal respiratory support among pregnant women scheduled for cesarean delivery.
Authors
- Young Mi Jung (ORCID: https://orcid.org/0000-0001-7877-4450)
- Jee Yoon Park (ORCID: https://orcid.org/0000-0002-2047-5703)
- Da Eun Jeong (ORCID: https://orcid.org/0009-0009-1573-4211)
- Hyunku Shin (ORCID: https://orcid.org/0000-0001-8590-3468)
- H S Kim
- Yeonho Choi (ORCID: https://orcid.org/0000-0003-2018-3599)
- Hyo Jin Lee
- Hyun Joon Im
- Seungmin Kim
- Eun Byul Lee
Institutions
- Korea University (KR)
- Seoul National University Bundang Hospital (KR)
- Korea Engineering Consultants Corporation (KR)
Publication Details
- Journal
- JAMA Pediatrics
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1001/jamapediatrics.2026.1081
- Primary Topic
- Preterm Birth and Chorioamnionitis
- Type
- article
- Field-Weighted Citation Impact
- 0.00