Enhancing Medical LLM Consultations
Improving AI patient interactions through specialized retrieval and emotional learning
This research introduces a novel framework to bridge the gap between LLM-based medical consultations and professional human consultations.
- Terminology-Enhanced Information Retrieval (TEIR) ensures implicit reasoning by utilizing medical knowledge
- Emotional In-Context Learning (EICL) improves the quality and empathy of responses
- Framework significantly outperforms standard LLMs in medical consultation satisfaction
- Provides a path toward more effective, empathetic AI-driven healthcare support
This innovation matters for healthcare because it addresses the critical need for AI systems that can provide not just accurate but also emotionally satisfying medical consultations, potentially improving patient outcomes and experience.