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eess.SP2026
A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
Juan Miguel López Alcaraz, Xicoténcatl López Moran, Erick Dávila Zaragoza +4
Artificial intelligence holds strong potential to support clinical decision making in intensive care units where timely and accurate risk assessment is critical. However, many exis…
eess.SP2024
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp +1
Deep neural networks have become increasingly popular for analyzing ECG data because of their ability to accurately identify cardiac conditions and hidden clinical factors. However…