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

Reliable evaluation of machine learning models for neonatal seizure detection is critical for clinical adoption. Current practices often rely on inconsistent and biased metrics, hindering model comparability and interpretability. Expert-level claims about AI performance are frequently made without r