Author

Yifan Yang

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Open access Sep 2026

Assessing safety and trustworthiness of large language models in medicine

The remarkable capabilities of large language models make them increasingly compelling for use in real-world healthcare applications. However, the risks associated with using these artificial intelligence systems in medicine are not systematically understood. The aim of this study is to characterize these risks b...

Yi-Fan Yang, Qiao Jin, Robert Leaman et al. · Communications Medicine · 0 citations

Open access Jul 2026

Knowledge-guided contextual gene set analysis with large language models

Abstract Motivation Gene set analysis (GSA) is a foundational approach for interpreting genomic data of diseases by linking genes to biological processes. However, conventional GSA methods overlook clinical context of the analyses, often generating long lists of enriched pathways with redundant, nonspecific, or irrelev...

Zhizheng Wang, Chi-Ping Day, Chih-Hsuan Wei et al. · Bioinformatics · 1 citation · ⚡1

Review Open access Jul 2026

Tutorial: guidance on the use of large language models for medical research

This entry-level tutorial aims to equip healthcare professionals with the tools necessary to effectively integrate LLMs into clinical practice, ensuring that these powerful technologies are applied in a safe, reliable, and impactful manner.

Qiao Jin, Nicholas Wan, Robert Leaman et al. · Nature Protocols · 1 citation