The Future is Here: the New AI Medical Assistant
Unlike traditional chatbots or generic LLM-based systems, it’s built specifically for healthcare providers using a Specialized Language Model (SLM) and Retrieval-Augmented Generation (RAG).
That combination means CURA doesn’t “guess” — it retrieves, verifies, and reasons using clinical data, institutional protocols, and EMR context in real time. It acts as a secure, evidence-grounded assistant that can understand nuanced medical queries, streamline provider workflows, and augment decision-making without replacing human judgment.
CURA operates on a Specialized Language Model (SLM) tailored for healthcare providers, integrating Retrieval-Augmented Generation (RAG) to ensure responses are both contextually accurate and clinically verifiable. By drawing on real-time data from electronic health records, guidelines, and institutional protocols, CURA delivers precise, workflow-aware decision support — enabling clinicians to ask complex questions and receive evidence-backed insights within seconds.
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