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cs.LG2026
Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU
Athanasios Papastathopoulos-Katsaros, Alexandra Stavrianidi, Zhandong Liu
False ventricular tachycardia (VT) alarms are a leading contributor to alarm fatigue in intensive care units. We propose a deep learning framework combining a 1D SE-ResNet with ICU…
cs.LG2026
Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes
Athanasios Papastathopoulos-Katsaros, Steven T. Lee, Lin Yao +4
Electroencephalography (EEG) is widely used to diagnose neurological conditions, but its analysis usually relies on either predefined spectral features or deep neural networks. Pre…
cs.LG2026
TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories
Matthew Brady Neeley, Jorge Botas, Johnathan Jia +5
Pediatric electronic health records capture developmentally structured clinical trajectories, yet their potential for generative healthcare foundation models remains largely unexpl…