Automated estimation of EEG maturity in preterm neonates and its association with long-term outcome
This study demonstrates the clinical potential of automated EEG maturity tracking using EEG as a real-time biomarker for neurodevelopmental risk.
Authors
- Tobias Werther
- Lisa Oberdorfer
- Anastasia Dressler (ORCID: https://orcid.org/0000-0002-1518-8646)
- M. Hartmann (ORCID: https://orcid.org/0000-0002-1446-7600)
- Katrin Klebermass‐Schrehof (ORCID: https://orcid.org/0000-0001-5387-6602)
- Renate Fuiko (ORCID: https://orcid.org/0000-0001-6278-8866)
- Vito Giordano (ORCID: https://orcid.org/0000-0002-2094-8523)
- Johannes Mader (ORCID: https://orcid.org/0009-0001-2079-0404)
- Tilmann Kluge (ORCID: https://orcid.org/0000-0001-7627-5156)
- Angelika Berger (ORCID: https://orcid.org/0000-0001-6876-5497)
- Nadine Pointner (ORCID: https://orcid.org/0009-0000-3191-9368)
Institutions
- AIT Austrian Institute of Technology GmbH (AT)
- Comprehensive Cancer Center Vienna (AT)
- Medical University of Vienna (AT)
Publication Details
- Journal
- Clinical Neurophysiology
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1016/j.clinph.2025.2111432
- Primary Topic
- Neonatal and fetal brain pathology
- Type
- article
- Field-Weighted Citation Impact
- 0.00