Artificial intelligence in preterm birth prediction: a narrative review of current approaches and clinical applicability.

Lee Y

Open source

DOI: 10.5468/ogs.26043
Published: 2026 Mar
Container: Obstetrics & gynecology science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.5468/ogs.26043,
  title = {Artificial intelligence in preterm birth prediction: a narrative review of current approaches and clinical applicability.},
  author = {Lee Y},
  year = {2026},
  journal = {Obstetrics \& gynecology science},
  doi = {10.5468/ogs.26043},
  url = {https://doi.org/10.5468/ogs.26043}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in preterm birth prediction: a narrative review of current approaches and clinical applicability.
AU  - Lee Y
PY  - 2026
JO  - Obstetrics & gynecology science
DO  - 10.5468/ogs.26043
UR  - https://doi.org/10.5468/ogs.26043
ER  -

APA

Y, L. (2026). Artificial intelligence in preterm birth prediction: a narrative review of current approaches and clinical applicability.. Obstetrics & gynecology science. https://doi.org/10.5468/ogs.26043

Source records

pubmed · retrieved 2026-09-26T11:13:01.321Z
europe-pmc · retrieved 2026-09-26T11:13:01.341Z
doaj · retrieved 2026-09-26T11:13:01.324Z