NeuroCue AI
LLM-powered clinical anomaly detection
Intelligent diagnostic assistant scanning incoming lab results against patient history to surface critical anomalies before physician review — 91.2% detection accuracy at 180ms.
Lab technicians manually reviewed all incoming results for critical anomalies — a process that delayed identification of life-threatening values by 30–90 minutes during high-volume periods.
LLM-augmented detection scans each result against the patient's longitudinal history and population-level reference ranges, surfacing critical flags in 180ms with 91.2% accuracy. Integration with the existing LIMS required zero workflow changes from clinical staff.
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