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Editorial
. 2023 Jan;93(2):281-283.
doi: 10.1038/s41390-022-02422-z. Epub 2023 Feb 17.

Emerging role of artificial intelligence, big data analysis and precision medicine in pediatrics

Affiliations
Editorial

Emerging role of artificial intelligence, big data analysis and precision medicine in pediatrics

Atul Malhotra et al. Pediatr Res. 2023 Jan.
No abstract available

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References

    1. Ashton, J. J., Young, A., Johnson, M. J. & Beattie, R. M. Using machine learning to impact on long-term clinical care: principles, challenges, and practicalities. Pediatr Res. https://doi.org/10.1038/s41390-022-02194-6 (2022).
    1. Baker, S. & Kandasamy, Y. Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review. Pediatr Res. 1–7. https://doi.org/10.1038/s41390-022-02120-w (2022).
    1. Vijlbrief, D., Dudink, J., van Solinge W., et al. From computer to bedside, involving neonatologists in artificial intelligence models for neonatal medicine. Pediatr. Res. In Press.
    1. Sullivan, B. A., Kausch, S. L. & Fairchild, K. D. Artificial and human intelligence for early identification of neonatal sepsis. Pediatr Res. https://doi.org/10.1038/s41390-022-02274-7 (2022).
    1. Sitek, A. et al. Artificial intelligence in the diagnosis of necrotising enterocolitis in newborns. Pediatr Res. https://doi.org/10.1038/s41390-022-02322-2 (2022).

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