APA (7th ed.) Citation

Kim, F., Joung, K., Field, H., Garland, M., Lyford, A., Sheen, J., & Hays, T. (2026). Machine learning demonstrates normal fetal Doppler velocimetry associated with reduced risk of necrotizing enterocolitis among preterm infants with growth restriction. Journal of Neonatal - Perinatal Medicine, 19(3), 288. https://doi.org/10.1177/19345798251382946

Chicago Style (17th ed.) Citation

Kim, F., K.E Joung, H. Field, M. Garland, A. Lyford, J.J Sheen, and T. Hays. "Machine Learning Demonstrates Normal Fetal Doppler Velocimetry Associated with Reduced Risk of Necrotizing Enterocolitis Among Preterm Infants with Growth Restriction." Journal of Neonatal - Perinatal Medicine 19, no. 3 (2026): 288. https://doi.org/10.1177/19345798251382946.

MLA (9th ed.) Citation

Kim, F., et al. "Machine Learning Demonstrates Normal Fetal Doppler Velocimetry Associated with Reduced Risk of Necrotizing Enterocolitis Among Preterm Infants with Growth Restriction." Journal of Neonatal - Perinatal Medicine, vol. 19, no. 3, 2026, p. 288, https://doi.org/10.1177/19345798251382946.