@article{6cd2f94318ed464885e8465c5978431e,
title = "Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions",
keywords = "Acute kidney injury, Artificial intelligence, Detection, Machine learning, Neonates, Pediatrics, Prediction, Humans, Artificial Intelligence, Child, Preschool, Infant, Machine Learning, Acute Kidney Injury/diagnosis, Risk Assessment/methods, Early Diagnosis, Child, Infant, Newborn",
author = "Rupesh Raina and Arwa Nada and Raghav Shah and Hany Aly and Saurav Kadatane and Carolyn Abitbol and Mihika Aggarwal and Jay Koyner and Javier Neyra and Sethi, \{Sidharth Kumar\}",
note = "{\textcopyright} 2023. The Author(s), under exclusive licence to International Pediatric Nephrology Association.",
year = "2024",
month = aug,
doi = "10.1007/s00467-023-06191-7",
language = "English",
volume = "39",
pages = "2309--2324",
journal = "Pediatric Nephrology",
issn = "0931-041X",
number = "8",
}