SOURCE-LINKED INTELLIGENCE
MAC-RRG: Iterative Multi-Agent Collaboration for X-ray Radiology Report Generation
Despite the remarkable progress of LLM-based and knowledge graph-augmented Radiology Report Generation (RRG) methods, existing techniques still suffer from inherent defects. Conventional LLM-only models lack structured medical prior knowledge, resulting in frequent medical hallucinations and low diagnostic interpretability. Current knowledge graph-enhanced schemes adopt static one-round knowledge fusion with single-source knowledge, incapable of dynamic knowledge updating according to generation feedback. This paper proposes a novel Multi-Agent Collaborative iterative framework for X-ray Radio
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-20T02:10:57.000Z
First collected: 2026-09-23T10:01:48.231Z. This is not the publication date.