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Zhiyong Lu

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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. · 0 citations
#artificial intelligence Review Sep 2026

Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment

TrialGPT 2.0 is presented, an AI-assisted clinical trial recommendation system designed for real-world deployment that improves clinician efficiency and identifying frequently overlooked trial opportunities, ultimately helping to expand and accelerate accrual to cancer trials.

Yin Fang, Qiao Jin, Shubo Tian et al. · 0 citations
Review Open access Jul 2026

Benchmarking and developing large language models using one million clinical trials

A large-scale structured resource aggregating 1.6M clinical trial records from fifteen global registries linked with biomedical ontologies and literature is introduced, demonstrating the potential of domain-adapted AI to improve evidence synthesis and clinical trial design and establishing as a foundation for scaling A...

Zifeng Wang, Jia-Cheng Lin, Qiao Jin et al. · 1 citation · ⚡1

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