MAC-RRG: Iterative Multi-Agent Collaboration for X-ray Radiology Report Generation

arXiv:2609.26124 · cs.AI · Submitted 2026-09-20 · Read on arXiv

cs.AI

Submitted: 2026-09-20

Updated: 2026-09-20

Code: https://github.com/Event-AHU/Medical_Image_Analysis

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Radiology Report Generation — 33× in this paper
• Knowledge Graph — 27× in this paper · explained in 7 episodes
• Large Language Model — 16× in this paper
• Alignment — 11× in this paper · explained in 1 episode
• F1 Score — 10× in this paper · explained in 3 episodes
• Transformer — 10× in this paper · explained in 2 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Multi-agent Collaboration — 7× in this paper · explained in 2 episodes
• Clinical Efficacy — 6× in this paper
• Interpretability — 6× in this paper · explained in 15 episodes
• Contrastive Learning — 5× in this paper · explained in 5 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Knowledge graphs — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 4× in this paper
• Hallucination — 4× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Decoupling — 3× in this paper · explained in 2 episodes
• Redundancy — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 2× in this paper · explained in 2 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• APEX — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Agentic Workflows — 1× in this paper · explained in 1 episode
• Alignment Methods — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Closed-Loop Optimization — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• K NOWLEDGE AGENT — 1× in this paper
• KNOWLEDGE F USION M ODULE — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
• LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation
• ReAct: Synergizing Reasoning and Acting in Language Models
• Graph-Augmented Topological Internalization with Dual-Stream Classifiers for Medical Report Generation
• CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• Decoupled Weight Decay Regularization

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection