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 Radiology Report Generation, termed MAC-RRG. Inspired by multi-agent technology, our framework constru...
| Authors | Futian Wang, Yuhan Qiao, Xiao Wang et al. |
|---|---|
| Primary category | cs.AI |
| Published | 20 September 2026 |
| Last updated at source | 20 September 2026 |
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