Artificial intelligence application in the prediction of spontaneous preterm birth by cervical length in the first trimester of pregnancy: Comparison of three measurement methods
The AI-line method offers a more accurate measurement of CL in the first trimester, showing potential as a tool for early screening of sPTB risk. The study's results could significantly influence clinical decision-making, providing a basis for the potential future clinical application of AI in prenatal care.
Authors
- Liona C. Poon (ORCID: https://orcid.org/0000-0002-3944-4130)
- Yu Ch
- Yi‐Yun Tai (ORCID: https://orcid.org/0000-0001-8713-9627)
- Bor‐Yann Tseng
- Zhu‐Han Yang
Institutions
- Chinese University of Hong Kong (HK)
- National Taiwan University Hospital (TW)
- National Cheng Kung University (TW)
Publication Details
- Journal
- International Journal of Gynecology & Obstetrics
- Published
- 2026-01-09
- DOI
- https://doi.org/10.1002/ijgo.70744
- Primary Topic
- Preterm Birth and Chorioamnionitis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Innovation and Technology Commission
- National Science and Technology Council