A new multi-agent AI system has been developed to structure radiology reports and perform quality assurance. The system, which uses local large language models and regex rules, successfully organized findings from CT examinations into standardized anatomical sections. In an evaluation by two radiologists, the system demonstrated favorable performance, with 84% of reports rated as "excellent" or "good" for overall QA. AI
IMPACT This system could standardize radiology reporting and enhance quality assurance processes in medical imaging.
RANK_REASON The cluster describes a research paper detailing a new AI system for a specific application (radiology reports) and its evaluation results.
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- arXiv
- computed tomography
- large-language models
- radiologist
- Radiology Report Structuring and Quality Assurance with Independent Radiologist Evaluation
- Hugging Face
- Radiology
- regular expression
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