RAG Agentic Models in Healthcare AI: Transforming Clinical Decision-Making

Join Dr.Kariena David as she explores the revolutionary integration of Retrieval-Augmented Generation (RAG) with agentic AI models in healthcare. This webinar highlights how RAG agentic systems combine large language models (LLMs) with real-time access to medical literature, patient records, and clinical guidelines, enabling context-aware, data-driven reasoning in complex clinical environments. Participants will learn how these models perform goal-directed dialogue, planning, and multi-step task execution, going beyond static AI tools to deliver smarter clinical insights. The session covers practical applications in diagnostics, clinical decision support, patient monitoring, workflow optimization, and specialty-specific AI, while emphasizing ethical AI, data privacy, and human oversight. Ideal for healthcare professionals, tech innovators, and anyone aiming to leverage AI for improved outcomes and operational efficiency.

Highlights :

1. Introduction to RAG Agentic Models and their healthcare applications.
2. Integration of LLMs with real-time medical information retrieval.
3. Agenticbehaviors: planning, multi-step execution, and goal-directed dialogue.
4. Practical applications in diagnostics, treatment planning, and patient management.
5. Ethical and regulatory considerations: data privacy, security, and human oversight.
6. Future of healthcare AI: autonomous, personalized, evidence-based care.

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Speaker(s)

Dr.Kariena David BDS

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