Cardiovascular medicine, organized as a connected semantic network. Every recommendation traceable. Every inference evidence-anchored. Every risk visible.
Patient data flows through a structured eight-stage pipeline. The Knowledge Graph sits at the centre, connecting all clinical reasoning layers into a single explainable output.
Every recommendation in the output is traceable back through this pipeline to a specific patient finding and guideline statement.
The Knowledge Graph is not a single flat database. It employs seven interconnected layers — each independently expandable as the evidence base evolves.
Genes · Proteins · Biomarkers · Metabolic Pathways
ASCVD · FH · Hypertension · Diabetes · CKD · NAFLD · Obesity · HF · PAD · Stroke
Absolute Risk · Lifetime Risk · Residual Risk · Inflammatory Risk
Lifestyle · Medication · Monitoring · Follow-up Protocol
ESC/EAS · ACC/AHA · ADA · KDIGO · USPSTF · IAS
RCTs · Meta-analyses · Consensus Statements · Registries · PMID/DOI
Individual patient subgraph — generated dynamically for each assessment, creating a personalised risk representation.
Every connection in the Knowledge Graph carries a semantic type, an evidence level, and a confidence score. This is what makes CardioIQ's reasoning auditable — not a black box.
All 14 supported types: CAUSES · ASSOCIATED_WITH · PREDICTS · RECOMMENDS · TREATS · CONTRAINDICATED_IN · REQUIRES · MODIFIES · AMPLIFIES · SUPPRESSES · INTERACTS_WITH · DERIVED_FROM · SUPPORTED_BY · SUPERSEDES
CardioIQ Knowledge Graph™ is architected to be trustworthy by design — not by claim.
Every relationship reflects accepted human pathophysiology and established biochemical mechanisms.
Every edge is supported by peer-reviewed evidence or internationally recognised guideline recommendations.
Every inference is traceable and human-understandable — decomposable into patient findings, graph paths, and source evidence.
Domains can be expanded independently — lipids, inflammation, renal, metabolic, vascular ageing — without structural redesign.
Every node and relationship includes creation date, version number, source reference, evidence level, guideline version, and confidence score.