Cross-Modal Clinical Knowledge Integration for Mammography Report Generation
Researchers have developed MammoRG, a new framework for generating mammography reports that integrates prior clinical knowledge and simulates the diagnostic workflow. Unlike previous methods that focused solely on visual-to-text mapping, MammoRG incorporates a two-stage training process and terminology-aware fine-tuning to improve clinical consistency. The system also includes MammoRGTool for parsing and evaluating generated reports, demonstrating superior performance on multiple clinical efficacy metrics. AI
IMPACT Enhances diagnostic accuracy and efficiency in mammography, potentially reducing radiologist workload and improving early breast cancer detection.