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T. Skoric

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#machine learning Open access Aug 2025

Honest and Reliable Evaluation and Expert Equivalence Testing of Automated Neonatal Seizure Detection

This proposed framework provides an important prerequisite to clinical validation by enabling a thorough and honest appraisal of machine-learning or AI methods for neonatal seizure detection.

Jovana Kljajić, J. M. O'Toole, Robert Hogan et al. · 1 citation
Open access Jul 2026

Forecasting and real-time detection of neonatal seizures: A machine learning perspective.

BACKGROUND AND OBJECTIVES Recognition and treatment of neonatal seizures, primarily diagnosed using EEG, are essential to protect the developing brain, yet only 11% of seizures are treated within 1 hour of onset. Developing seizure forecasting and detection systems could help address this issue in intensive care settin...

T. Skoric, M. Djermanovic, J. M. O'Toole et al. · 0 citations

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