DiagnosticAI Core
Neural triage routing for emergency units
Deep learning engine processing patient vitals and symptom vectors to route triage priority in under 200ms — achieving 94.7% clinical validation accuracy across 3,200+ daily cases.
Emergency departments were manually triaging 3,000+ daily cases using paper-based severity scores, leading to 22% misclassification of high-acuity patients and average waits exceeding 4 hours for critical cases.
TensorFlow neural network processes 47 patient vitals and symptom vectors simultaneously, routing priority in under 200ms. Continuous learning pipeline retrains weekly on clinician-validated outcomes, pushing accuracy from 87% at launch to 94.7%.
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