Methodological Considerations in Assessing a Multimodal Artificial Intelligence Model for Prediction of Spontaneous Preterm Birth.

Tahir HN, Majeed F, Sadia Z, Tariq U, Mushtaq MR.

DOI: 10.1002/jum.70459
Published: 2026-09-18
Container: J Ultrasound Med
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1002/jum.70459,
  title = {Methodological Considerations in Assessing a Multimodal Artificial Intelligence Model for Prediction of Spontaneous Preterm Birth.},
  author = {Tahir HN and  Majeed F and  Sadia Z and  Tariq U and  Mushtaq MR.},
  year = {2026},
  journal = {J Ultrasound Med},
  doi = {10.1002/jum.70459},
  url = {https://doi.org/10.1002/jum.70459}
}

RIS

TY  - JOUR
TI  - Methodological Considerations in Assessing a Multimodal Artificial Intelligence Model for Prediction of Spontaneous Preterm Birth.
AU  - Tahir HN
AU  -  Majeed F
AU  -  Sadia Z
AU  -  Tariq U
AU  -  Mushtaq MR.
PY  - 2026
JO  - J Ultrasound Med
DO  - 10.1002/jum.70459
UR  - https://doi.org/10.1002/jum.70459
ER  -

APA

HN, T., F, M., Z, S., U, T., & MR., M. (2026). Methodological Considerations in Assessing a Multimodal Artificial Intelligence Model for Prediction of Spontaneous Preterm Birth.. J Ultrasound Med. https://doi.org/10.1002/jum.70459

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europe-pmc · retrieved 2026-09-27T06:15:52.676Z