Complication detection and simulation of physiological mechanisms of neonatal and pediatric intensive care treatment data with the help of AI

Complication detection and simulation of physiological mechanisms of neonatal and pediatric intensive care treatment data with the help of AI - AIx-Neo-Guard

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00033228

Enrollment

Registered

2024-08-29

Start date

2024-08-29

Completion date

Unknown

Last updated

2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

All neonates and children of all ages who are treated at NICU / PICU P07.0 P28.5 P21 P52 P27 P77 P36 P22 A41 J96

Interventions

Group 1: Retrospective analysis of patient data and biosamples of neonates and children of all ages who are treated at the pediatric / neonatal intensive care unit. Data will be recorded for the durat

Eligibility

Sex/Gender

All

Age

No minimum to 17 Years

Inclusion criteria

Inclusion criteria: - intensive care treatment (emergency or elective, e.g. postoperative)

Exclusion criteria

Exclusion criteria: - age >= 18 years

Design outcomes

Primary

Measure	Time frame
The aim of the study is the systematic recording of patient data (e.g. vital signs, ventilation data and parameters, laboratory results, complications during intensive care treatment, diagnoses, results from medical imaging, consultative examinations, etc.) and their secondary analysis. With the help of this analysis algorithms for the detection of pathophysiological conditions for research purposes will be established. Furthermore pathophysiological knowledge of preterm birth and their complications will be deepened and data will be used to develop and validate physiological models. Data will be preserved for further research issues after completion of the study.	—

Measure

Time frame

The aim of the study is the systematic recording of patient data (e.g. vital signs, ventilation data and parameters, laboratory results, complications during intensive care treatment, diagnoses, results from medical imaging, consultative examinations, etc.) and their secondary analysis. With the help of this analysis algorithms for the detection of pathophysiological conditions for research purposes will be established. Furthermore pathophysiological knowledge of preterm birth and their complications will be deepened and data will be used to develop and validate physiological models. Data will be preserved for further research issues after completion of the study.

—

Countries

Germany

Contacts

Public ContactMark Schoberer

Uniklinik RWTH Aachen, Klinik für Kinder- und Jugendmedizin, Sektion Neonatologie

mschoberer@ukaachen.de+492418089380

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Aug 9, 2026