Healthcare AI bias detection and correction. 96% accuracy across 21,000 data points. Ensures botanical medicine recommendations work equitably.
EquiPath identifies and corrects demographic bias embedded in healthcare AI training data and model outputs. At 96% accuracy across 21,000 data points, it ensures that NeuroBotanica's recommendations — and any healthcare AI system — work equitably across all patient populations.
Validated across 21,000 data points. Detects demographic bias in healthcare AI outputs across race, ethnicity, gender, and socioeconomic proxies.
Corrects biased recommendations in-flight. Integrated into NeuroBotanica BioPath for all cross-kingdom predictions.
Available as a standalone API for healthcare AI systems. Enterprise licensing for hospital systems, research institutions, and insurers.
Full documentation of bias detection events and corrections. HIPAA-compliant logging for regulatory and compliance review.
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