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Research questionHow can language models make radiology reports understandable to patients without introducing factual errors?Radiology reports use specialized terminology intended for clinicians, leaving patients to rely on explanations that may distort findings or invent unsupported details.
AI
Evaluation & Benchmarks
Health
Natural Language Processing
Research Paper
Retrieval-Augmented Generation
Latest papersRecent research connected to this question, newest first.Improving Health Literacy through Lay Summarization of Radiological Reports: An Evaluation of BioNER and Retrieval-Augmented GenerationThe study evaluates automated lay-summary generation using clinically informed named-entity extraction and retrieval-augmented generation across few-shot and fine-tuned Qwen and BioBART variants. Its evidence indicates that entity-aware extraction improves readability and quality, while retrieval alone can introduce hallucinations; combined effects vary by training setting.research paper · Sep 2, 2026
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