From Records to Reason​

How cliexa advanced explainable clinical AI with Mayo Clinic Platform​

Discover how cliexa advanced a clinically grounded AI architecture into a Mayo ClinicPlatform-qualified opioid use disorder solution with measured fairness outcomes and a pathway to enterprise deployment.​

From promising architecture to commercial readiness​

Clinical AI must deliver more than accurate predictions. It must demonstrate explainability, rigorous validation, responsible AI practices, and enterprise readiness.​

Through its work with Mayo Clinic Platform, cliexa advanced a dual-layer architecture combining deterministic clinical rules with predictive AI, progressing through clinical and technical validation, research using de-identified data, qualification, and deployment preparation.​

Inside the case study​

Learn how cliexa:​

• Developed and validated an explainable opioid use disorder risk model​
• Achieved 82.3% test accuracy​
• Reduced the age-based accuracy gap by 59%​
• Prepared an EMR-agnostic, enterprise-ready solution​