Lenus Stratify® delivers a suite of machine learning AI models that work in harmony to identify clinical risk at a patient and population level
Clinical teams can act on risk
Take a world-first approach to clinical AI
Routinely collected healthcare data is full of biases
Building models without mitigating against these can have detrimental outcomes
Explainable model predictions are essential to ensure both clinician and patient trust in the AI
Explainability is also a powerful technique for bias hunting
Evaluation of model performance, selection rate, and explainability across protected demographics
Fairness-aware model training with representation/inclusion criteria
NHS AI Award
Patent pending 2208262.2
Phase 3 Recipient: Artificial Intelligence in Health and Care Award delivered by Accelerated Access Collaborative, National Institute for Health Research and NHS AI Lab. Read more here.
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