Conversational Disease Diagnosis via External Planner-Controlled Large Language Models

This study introduces an innovative approach using external planners augmented with large language models (LLMs) to develop a medical task-oriented dialogue system for conversational disease diagnosis. The system comprises a policy module for information gathering, and an LLM-based module for natural language understanding and generation, addressing the limitations of previous AI systems in these areas.