Prediction of maternal and infant outcomes from longitudinal electronic health records with a Mother-Child AI agent.

Liu S, Zheng W, Kang J, Xu T, Chen S, Li G, Li J, Wong H, Wang M, Bai X, Hu C, Tang C, Jin S, Zou Z, Chong I, Lu Y, Wong IN, Xu H, Zhang CL, Shi J, Feng E, Gu J, Sun Z, Chen H, Yang L, Zhang Y, Zhu X, Huang H, Xu X, Li X, Zhenhui Z, Qi H, Lu X, Cheng N, Pan S, Sun N, Yin Y, Williams M, Oermann E, Rasko JEJ, Li J, Wang K, Zhang K, Wu H, Xia Y, Zeng F, International Consortium of Digital Twins in Healthcare and Medicine

Open source

DOI: 10.1038/s41591-026-04694-y
Published: 2026 Sep 4
Container: Nature medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41591-026-04694-y,
  title = {Prediction of maternal and infant outcomes from longitudinal electronic health records with a Mother-Child AI agent.},
  author = {Liu S and Zheng W and Kang J and Xu T and Chen S and Li G and Li J and Wong H and Wang M and Bai X and Hu C and Tang C and Jin S and Zou Z and Chong I and Lu Y and Wong IN and Xu H and Zhang CL and Shi J and Feng E and Gu J and Sun Z and Chen H and Yang L and Zhang Y and Zhu X and Huang H and Xu X and Li X and Zhenhui Z and Qi H and Lu X and Cheng N and Pan S and Sun N and Yin Y and Williams M and Oermann E and Rasko JEJ and Li J and Wang K and Zhang K and Wu H and Xia Y and Zeng F and International Consortium of Digital Twins in Healthcare and Medicine},
  year = {2026},
  journal = {Nature medicine},
  doi = {10.1038/s41591-026-04694-y},
  url = {https://doi.org/10.1038/s41591-026-04694-y}
}

RIS

TY  - JOUR
TI  - Prediction of maternal and infant outcomes from longitudinal electronic health records with a Mother-Child AI agent.
AU  - Liu S
AU  - Zheng W
AU  - Kang J
AU  - Xu T
AU  - Chen S
AU  - Li G
AU  - Li J
AU  - Wong H
AU  - Wang M
AU  - Bai X
AU  - Hu C
AU  - Tang C
AU  - Jin S
AU  - Zou Z
AU  - Chong I
AU  - Lu Y
AU  - Wong IN
AU  - Xu H
AU  - Zhang CL
AU  - Shi J
AU  - Feng E
AU  - Gu J
AU  - Sun Z
AU  - Chen H
AU  - Yang L
AU  - Zhang Y
AU  - Zhu X
AU  - Huang H
AU  - Xu X
AU  - Li X
AU  - Zhenhui Z
AU  - Qi H
AU  - Lu X
AU  - Cheng N
AU  - Pan S
AU  - Sun N
AU  - Yin Y
AU  - Williams M
AU  - Oermann E
AU  - Rasko JEJ
AU  - Li J
AU  - Wang K
AU  - Zhang K
AU  - Wu H
AU  - Xia Y
AU  - Zeng F
AU  - International Consortium of Digital Twins in Healthcare and Medicine
PY  - 2026
JO  - Nature medicine
DO  - 10.1038/s41591-026-04694-y
UR  - https://doi.org/10.1038/s41591-026-04694-y
ER  -

APA

S, L., W, Z., J, K., T, X., S, C., G, L., J, L., H, W., M, W., X, B., C, H., C, T., S, J., Z, Z., I, C., Y, L., IN, W., H, X., CL, Z., J, S., E, F., J, G., Z, S., H, C., L, Y., Y, Z., X, Z., H, H., X, X., X, L., Z, Z., H, Q., X, L., N, C., S, P., N, S., Y, Y., M, W., E, O., JEJ, R., J, L., K, W., K, Z., H, W., Y, X., F, Z., & Medicine, I. C. O. D. T. I. H. A. (2026). Prediction of maternal and infant outcomes from longitudinal electronic health records with a Mother-Child AI agent.. Nature medicine. https://doi.org/10.1038/s41591-026-04694-y

Source records

pubmed · retrieved 2026-09-26T06:32:21.119Z