Accepted for/Published in: JMIR Pediatrics and Parenting
Date Submitted: Feb 27, 2026
Date Accepted: Jun 8, 2026
The AIx-Neo-Guard Dataset: Feasibility of a German high-frequency Neonatal and Pediatric Intensive Care Dataset: a secondary data cohort study
ABSTRACT
Background:
Available information about existing neonatal and pediatric intensive care datasets is scarce.
Objective:
The objective is to evaluate the feasibility of a monocentric high-frequency dataset of neonatal and pediatric intensive care patients in a cohort study.
Methods:
Patients treated on the neonatal and pediatric Tertiary Care intensive care unit of Uniklinik RWTH Aachen, Germany were included. The dataset comprises high-frequency bedside monitoring and ventilation data, CO2 monitoring, laboratory results, important diagnoses and interventions, patient characteristics and many manual annotations.
Results:
401 admissions (227 neonatal, 174 pediatric) from 360 individual patients were included between September 2024 and January 2026. The overall study enrollment rate was 77 % of all patients. The dataset comprises 3,600 patient days with over 20,000 manual annotations (approximately 3 terabytes) and has been used for multiple use cases.
Conclusions:
The high time resolution allows for a detailed reproducibility of patient states. To our knowledge, there are no published descriptions of comparable high-frequency neonatal or pediatric intensive care datasets. We share this information about our own dataset to encourage cross-institutional cooperation. The multicenter pooling of data increases possible use cases by enabling new research questions or the development of more robust algorithms. Clinical Trial: German Clinical Trials register (DRKS00033228)
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