
Enhancing Medical Diagnosis with AI
A dual-knowledge approach to clinical reasoning
DuaLK integrates medical knowledge with EHR data to create AI diagnostic systems that mirror physicians' stepwise reasoning process.
- Combines lab test signals with comprehensive medical knowledge graphs
- Implements a two-stage approach: knowledge-guided pretraining followed by fine-tuning
- Achieves superior performance in diagnostic reasoning compared to traditional models
- Provides interpretable reasoning paths that align with clinical decision-making
This research bridges the gap between data-driven AI and human clinical expertise, potentially reducing diagnostic errors and improving patient outcomes in healthcare settings.
Bridging Stepwise Lab-Informed Pretraining and Knowledge-Guided Learning for Diagnostic Reasoning