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AI for healthcare. Intelligence for decisions.

CAD CARE develops and integrates intelligent systems across clinical, operational, research and population-health environments.

Overview

Intelligence for the healthcare lifecycle

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.

Clinical intelligence

Decision support, risk prediction, stratification, documentation and summarisation at the point of care.

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Research intelligence

Cohort discovery, feasibility, eligibility matching, literature and evidence intelligence.

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Population intelligence

Risk stratification, prediction, segmentation, surveillance and programme analytics.

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Medical imaging AI

Imaging workflows, model integration, structured reporting and enterprise imaging AI.

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AI agents

Bounded, supervised agents that carry out defined healthcare tasks with a human in the loop.

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Responsible AI

Governance, validation, explainability, monitoring and the limits we build in deliberately.

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Generative AI

Drafting, summarisation and structured extraction — grounded and reviewed.

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Knowledge graphs & NLP

Concept extraction, terminology mapping and evidence synthesis.

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The precondition

AI needs interoperable data.

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.

AI needs interoperable dataINTEROPERABILITY+SEMANTIC DATA+CLINICAL CONTEXT+AITRUSTED HEALTHCARE INTELLIGENCEreliable enough to act on

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Techniques

What we build with

Generative AILarge language modelsMachine learningPredictive modellingMedical NLPComputer visionKnowledge graphsRetrieval-augmented generationAI agentsClinical decision supportTime-series & survival modelsFederated approaches

We are not interested in AI that cannot be explained, validated, monitored and switched off.

Explore an AI opportunity.

Bring a clinical, operational or research problem — not a model. We will tell you whether AI is the right instrument for it.

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