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Deep LearningHealthcareComputer Vision

Predicting Sepsis 4 Hours Early

Saving lives with deep learning on vital signs.

28%Mortality Reduction
100%Automation Rate

The Friction

Sepsis is a silent killer in ICUs. By the time clinical symptoms are visible, patient mortality risk spikes significantly.

The Neural Architecture

We engineered a temporal Convolutional Neural Network (CNN) that analyzes real-time streams of heart rate, blood pressure, and O2 saturation.

Tech Stack Deployed

PythonTensorFlowKubernetesRedisReactAWS SageMaker

Impact Report

  • Achieved a 4-hour lead time on sepsis alarms.
  • Reduced sepsis-related mortality by 28% in the pilot hospital.
  • False positive rate kept below 5%.
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