GBC MedAI offers a triple solution to the problem of updating medical knowledge:
- Real-time search engine integration: Simultaneous access to Bocha AI, Baidu AI search and SerpAPI, automatically obtaining the latest clinical research and diagnostic and treatment guidelines
- Knowledge graph dynamically updatedOptional Neo4j graph database for storing structured medical knowledge, with support for timed or triggered update mechanisms.
- mixed response strategy (MRS): The system prioritizes the retrieval of real-time data, and only calls the pre-trained model to generate a response when the latest information is not available
- Human intervention interface: Administrators can correct or add to the knowledge base directly through the back-end interface, with changes taking effect immediately.
Tests show that for time-sensitive content such as treatment guidelines for new crown outbreaks, the system guarantees access to information within 24 hours, significantly outperforming traditional static knowledge base solutions.
This answer comes from the articleGBC MedAI: An Intelligent Medical Assistant with Access to Multiple AI Models and Search EnginesThe
May not be reproduced without permission:AI productivity tools " What are the solutions to eliminate the lag in updating the knowledge of healthcare AI assistants?
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