SOURCE-LINKED INTELLIGENCE
Medical Knowledge Simplification for Patients in the Era of LLMs: A Case Study on Diabetes
Complex medical information is often difficult for patients to understand, making effective medical knowledge simplification essential for improving patient comprehension, informed decision-making, and health outcomes. Recent advances in large language models (LLMs) provide a promising approach for simplifying complex medical information into patient-friendly language; however, their effectiveness in real-world patient education remains insufficiently explored through human evaluation. To investigate their practical effectiveness, this paper presents a case study on diabetes knowledge simplifi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T07:05:05.000Z
First collected: 2026-09-20T11:41:07.830Z. This is not the publication date.