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- W4386774686 abstract "In neonatal and pediatric intensive care units (NICUs and PICUs), patients face a heightened risk of life-threatening decompensation. Rapid and accurate medical information processing is vital for healthcare professionals to diagnose and devise treatment plans for each infant. Integrating artificial intelligence (AI) into clinical workflows presents a promising approach for improving patient safety, minimizing human error, and enhancing care quality in these specialized settings. Before incorporating AI into pediatric care, assessing the technology from a human factors perspective is crucial, verifying its readiness and ecological validity for real-world application. This chapter thoroughly overviews AI applications in NICU and PICU environments. Additionally, it underscores the current limitations of AI technology and suggests targeted recommendations to address these shortcomings. The chapter contributes to AI's readiness for practical implementation in natural clinical settings, ultimately assisting healthcare professionals in optimizing care for critically ill neonates and children." @default.
- W4386774686 created "2023-09-16" @default.
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- W4386774686 date "2024-01-01" @default.
- W4386774686 modified "2023-09-27" @default.
- W4386774686 title "Artificial intelligence in neonatal and pediatric intensive care units" @default.
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- W4386774686 doi "https://doi.org/10.1016/b978-0-443-15688-5.00013-9" @default.
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