ETHOS:AI That Predicts Hospital Risks in Real-Time | Foundation Model for Electronic Medical Records

Описание: 🏥 Can AI predict critical hospital outcomes in real-time?
In this video, we explore ETHOS, a groundbreaking foundation model transforming how we predict patient risks using electronic medical records.
Key Highlights:
💡 Model Innovation: Revolutionary approach processing 357 million tokens from 299,721 unique patients
🔄 Dynamic Monitoring: Real-time risk assessment from admission to discharge
🎯 Superior Accuracy: Outperforming traditional early warning systems across all metrics
Key Features:
📊 Comprehensive Analysis: Processing diverse patient data including:
• Laboratory results
• Medications
• Vital signs
• Clinical procedures
• Demographics
🎯 Predictive Capabilities:
• Hospital mortality
• ICU admissions
• Prolonged hospital stays
• Dynamic risk assessment
💻 Technical Innovation:
• Zero-shot prediction capability
• Advanced transformer architecture
• Real-time explainability features
Join us as we explore how ETHOS is revolutionizing healthcare decision-making and improving patient outcomes through AI innovation.
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