Agents12h ago
GraphDx Framework Optimizes Medical Diagnosis Costs
The GraphDx framework uses three collaborative agents to balance diagnostic accuracy with resource spending. It employs a specialized knowledge graph to bridge the reasoning gap found in standard LLMs. By integrating cost-sensitivity into its topology, the system reduces excessive testing. This approach provides a concrete blueprint for deploying agentic workflows in high-cost clinical environments.