Author

Ze-Yang Zhu

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Review Open access Jul 2026

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

This study demonstrates that anchoring LLMs with authoritative knowledge effectively mitigates hallucination risks and enhances clinical reliability, and reveals that the RAG-enhanced system significantly outperforms unaugmented models in providing accurate, guideline-compliant recommendations.

Xuan Tao, Lan Tian, Chenhao Fang et al. · npj Digital Medicine · 0 citations

FAIR and Square: Privacy Compliance Framework for Healthcare Databases

Initial evaluations using various machine-learning algorithms on pre-and post-generalized datasets demonstrate the privacy framework’s effectiveness in mitigating privacy risks while preserving data usability.

Ze-Yang Zhu, Matthias N. Louws, Roland V. Bumbuc et al. · 0 citations