An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy.
- DOI
- 10.1038/s41598-025-11518-5
- Published
- 2025 Jul 17
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-11518-5,
title = {An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy.},
author = {Liu L and Zang Y and Zheng H and Li S and Song Y and Feng X and Zhang X and Li Y and Cao L and Zhou G and Dong T and Huang Q and Pan T and Deng J and Cheng D},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-11518-5},
url = {https://doi.org/10.1038/s41598-025-11518-5}
}RIS
TY - JOUR TI - An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy. AU - Liu L AU - Zang Y AU - Zheng H AU - Li S AU - Song Y AU - Feng X AU - Zhang X AU - Li Y AU - Cao L AU - Zhou G AU - Dong T AU - Huang Q AU - Pan T AU - Deng J AU - Cheng D PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-11518-5 UR - https://doi.org/10.1038/s41598-025-11518-5 ER -
APA
L, L., Y, Z., H, Z., S, L., Y, S., X, F., X, Z., Y, L., L, C., G, Z., T, D., Q, H., T, P., J, D., & D, C. (2025). An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy.. Scientific reports. https://doi.org/10.1038/s41598-025-11518-5
Source records
- pubmed · retrieved 2026-09-25T20:11:33.931Z