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Clinical AI System Features

This system is designed to assist in processing and analyzing clinical case data, leveraging advanced AI models and information retrieval techniques. Below is a breakdown of its key features:

📌 Key Features​

🔍 Clinical Data Extraction & Processing​

  • Supports both CSV and PDF formats for clinical case data.
  • Extracts relevant medical information for further analysis.

🧠 AI-Powered Information Retrieval​

  • Uses LangChain to manage complex query workflows.
  • Employs Chroma vector stores for efficient storage and retrieval of medical data.

🤖 Large Language Model (LLM) Querying​

  • Integrates with state-of-the-art LLMs, including:
    • medllama2 – Specialized for medical language understanding.
    • biomistral – Optimized for biomedical text processing.
  • Enhances decision-making with context-aware AI responses.

📑 ICD-11 Classification Code Retrieval​

  • Fetches ICD-11 medical codes via API.
  • Provides accurate and standardized disease classification.

🔬 RAG-Based Medical Diagnostics​

  • Utilizes Retrieval-Augmented Generation (RAG) to generate diagnostic insights.
  • Produces precise and contextually relevant medical case answers.

This system is a powerful tool for medical professionals, enabling efficient data analysis, intelligent querying, and accurate diagnostic assistance.