Clinical intelligence
Decision support, risk prediction, stratification, documentation and summarisation at the point of care.
Read more →CAD CARE develops and integrates intelligent systems across clinical, operational, research and population-health environments.
Overview
Artificial intelligence is transforming how healthcare is researched, delivered and managed. CAD CARE develops and integrates intelligent systems across clinical, operational, research and population-health environments.
Decision support, risk prediction, stratification, documentation and summarisation at the point of care.
Read more →Cohort discovery, feasibility, eligibility matching, literature and evidence intelligence.
Read more →Risk stratification, prediction, segmentation, surveillance and programme analytics.
Read more →Imaging workflows, model integration, structured reporting and enterprise imaging AI.
Read more →Bounded, supervised agents that carry out defined healthcare tasks with a human in the loop.
Read more →Governance, validation, explainability, monitoring and the limits we build in deliberately.
Read more →Drafting, summarisation and structured extraction — grounded and reviewed.
Read more →Concept extraction, terminology mapping and evidence synthesis.
Read more →The precondition
Artificial intelligence cannot deliver reliable healthcare intelligence when clinical data remains fragmented, inconsistent or semantically ambiguous. This is the single most common reason healthcare AI programmes stall.
Scroll to see the full diagram →
Techniques
We are not interested in AI that cannot be explained, validated, monitored and switched off.
Bring a clinical, operational or research problem — not a model. We will tell you whether AI is the right instrument for it.