MonteRET: AI Agent Enhances Chest CT Report Generation with Multi-granularity Knowledge Retrieval

Jul 17, 2026

Researchers have introduced MonteRET, a region-aware retrieval-enhanced framework for automated chest CT report generation. The system combines global and region-level CT features, retrieves clinically relevant knowledge based on predicted conditions and anatomical regions, and uses an AI agent to refine initial reports. MonteRET demonstrated improved report quality, semantic similarity, and clinical efficacy compared to baselines and state-of-the-art methods on both public and external datasets, with human expert evaluations favoring its outputs.

Why it matters: This work shows that integrating multi-granularity knowledge retrieval and vision-language alignment can significantly enhance the clinical accuracy and completeness of automated radiology report generation.

Full story at: arXiv Computer Vision ↗