MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM

The discussion of MACD explores a multi-agent clinical diagnosis framework that processes thousands of real patient cases. The system utilizes specialized agents—Summarizer, Refiner, and Diagnostician—to create evolving, 'Self-Learned Knowledge.' This approach significantly outperforms established professional knowledge and is designed to be scalable and deployable on local hardware.

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