An evidence-based clinical decision support platform with RAG-powered medical Q&A, citations, and structured clinical outputs (NOT a diagnostic device).
DKAi Health Platform helps clinical teams turn questions and patient context into evidence-based answers and structured insights—so clinicians can review faster and decide with clarity. Built with RAG for transparency and citations.
RAG brings the evidence. The Clinical Assistant combines it with patient context to produce a clinician-ready, citation-backed response.
Ask in plain language and get guideline- and research-backed answers with citations—plus clear safety caveats designed for clinician review.
Transform structured inputs into risk-oriented summaries, potential conditions, and standardized codes (ICD-10 / SNOMED CT) to support documentation and next-step thinking.
Combine symptoms with patient context for an integrated clinical narrative—grounded in medical knowledge and surfaced for human interpretation.
NOT a diagnostic device. DKAi Health Platform is designed for informational and educational use by healthcare professionals as clinical decision support. It should not replace professional medical advice, diagnosis, or treatment.
Designed for clinician review: answers are supported with citations and surfaced in plain language, while uncertainties are made clear so you can validate before acting.
Powered by disease-specific models and grounded with a unified knowledge layer (guidelines + PubMed-grade evidence) to support consistent, evidence-first answers.
Web/App or API interface
Routes clinical workflows across models + evidence
Retrieves relevant evidence from guidelines and medical Q&A
Evidence synthesis, citations, and structured reporting
Learn how we train a medical-domain SLM (QAT16) using CPT + SFT, so it can chat naturally and follow a consistent Q&A format.
We are here to serve clients around the world with innovative solutions tailored to their unique needs.
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Dedicated Team & Innovators
Revolutionary AI-powered healthcare solutions are on the way. Stay tuned for innovative medical technology that will transform patient care.
