Evidence-Based AI Designed for Clinical Reasoning
Kahun's technology bridges the gap between text-based research publications and clinical decision making.
Get to know Kahun's core:
Our evidence-based knowledge graph
The knowledge graph captures the complex inter-activities between thousands of diseases and findings. Our proprietary AI engine generates and infers from complex variants of large Bayesian networks that link diseases, findings, complications, risk factors, causal information, and statistics—all based on the most up-to-date medical information.
The Knowledge Graph
A mapped version of evidence based medical literature
01.
By merging AI methodologies and a community of medical experts, we annotate and process existing clinical literature and fully capture its complex associations.
02.
We encode the evidence-based clinical knowledge and transform it into a machine-readable medical knowledge graph.
03.
The knowledge graph displays causal, associative and quantitative information about risk factors, clinical manifestations, lab abnormalities, imaging findings, and more.
04.
Using standard terminologies such as SNOMED-CT and LOINC, Kahun speaks the same language as physicians and EHR systems.
05.
Dynamic and growing daily with each new paper published, the knowledge graph keeps you current on millions of relations between disorders, complications, findings, incidence and prevalence rates, drug side effects, and more.
