2 papers
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.SP2025
Towards actionable hypotension prediction -- predicting catecholamine therapy initiation in the intensive care unit
Richard Koebe, Noah Saibel, Juan Miguel Lopez Alcaraz +2
Hypotension in critically ill ICU patients is common and life-threatening. Escalation to catecholamine therapy marks a key management step, with both undertreatment and overtreatme…