Cognis Evidence
Evidence
Peer-reviewed science, multi-centre validation, and a clear pathway toward responsible clinical translation.
Scientific Foundation
Validated AI, Built on Rigorous Evidence
Our evidence base is anchored in peer-reviewed studies published in leading medical journals. We focus on non-contrast CT imaging, where AI can unlock clinically valuable insights from routine scans. The research behind our approach is designed to meet the standards of clinical institutions, combining algorithmic innovation with real-world patient data.
Beyond initial publication, we believe in continuous validation. Our studies are structured around multi-centre datasets, independent reader studies, and consecutive patient cohorts to ensure that our AI performs reliably across different populations and clinical settings.
Peer-reviewed publications
Multi-centre external validation
Real-world cohort testing
Validation Depth
Key Evidence Metrics
3
Nature Medicine Publications
Including PANDA, GRAPE, and iAorta studies focused on non-contrast CT.
5+
Multi-Centre Cohorts
Validation across diverse hospitals and imaging protocols to ensure generalisability.
10k+
Consecutive CT Scans
Real-world patient data analysed in consecutive cohort studies, reflecting routine clinical practice.
Evidence to Translation
Published evidence is the starting point. We actively work with clinical partners to validate AI tools in their specific environments, ensuring that our technology meets local needs and governance standards before deployment.