State-Aware Dialogue Framework
Cross-source consensus on State-Aware Dialogue Framework from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Evidence quality
Highlighted claims
- The framework organizes the consultation into history-taking, diagnosis and management, and follow-up phases. — Advancing conversational diagnostic AI with multimodal reasoning
- The framework uses intermediate outputs for patient state, hypotheses, uncertainty, and knowledge gaps. — Advancing conversational diagnostic AI with multimodal reasoning
- A structured patient profile is initialized and updated throughout the conversation. — Advancing conversational diagnostic AI with multimodal reasoning
- The internal uncertainty estimate guides questioning but is not a calibrated diagnostic probability and is not shown to users. — Advancing conversational diagnostic AI with multimodal reasoning
- After validation, the system presents a ranked differential diagnosis of 5 to 10 conditions grounded in the full interaction and multimodal findings. — Advancing conversational diagnostic AI with multimodal reasoning