Journal of Computational Intelligence in Biomedicine | Volume 1, Issue 1: 24-43, 2026 | DOI: 10.62762/JCIB.2025.132871
Abstract
Traditional Early Warning Systems (EWS) relying on intermittent vital signs and aggregate scoring often miss subtle pre-deterioration changes. Recent advances in continuous telemetry and artificial intelligence present opportunities for enhanced detection. We propose DETER, a novel algorithm integrating continuous vital sign telemetry with Retrieval-Augmented Generation (RAG)-enhanced generative AI. The system processes real-time physiological data (ECG, SpO2, blood pressure, temperature, respiratory rate, heart rate variability) alongside electronic medical records and clinical assessments. Developed and validated on 94 patients (74% aged >65 years) from the Cardio-Thoracic Clinic of Univer... More >
Graphical Abstract