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Xin-ying Song

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Generating guideline-concordant and safe recommendations for diabetic kidney disease management via a hierarchical retrieval-augmented large language model

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By Xuan Tao, Lan Tian, Chenhao Fang, Jin-Hao Li, Jia-Qi Lin, Xiao-Jie Liu, Zi-Hang Chen, Yi-nan Wu, Hong Chang Chen, Xin-ying Song, Yan-hong Lin, Ze-yang Zhu, Min-xia Wang, Wan-xuan Chen, Jian-ya Xu
| Nature Verified
Abstract Managing diabetic kidney disease (DKD) is inherently complex, requiring clinicians to synthesize patient history, fluctuating biomarkers, and evolving treatment guidelines. While large language models (LLMs) show promise in medical decision support, their clinical adoption is hindered by factual inaccuracies and a lack of specific reasoning required for individualized patient management.
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