Large language model (LLM) chatbots are increasingly used to answer clinical questions with citations to relevant studies, yet the quality of retrieved evidence and factors influencing study selection remain unclear. We evaluated three general-purpose LLM chatbots (Claude Sonnet 5, Gemini 3.1 Pro, and ChatGPT GPT-5.5)...
Qingfang Liu, Qiao Jin, J. Menke et al.· 0 citations
It is shown that current large language models generally perform poorly on most of the safety tests, regardless of their safety alignment mechanisms, which underscores the crucial need for ongoing human oversight and the implementation of strict safety guardrails before deploying these tools in clinical practice.
Yi-Fan Yang, Qiao Jin, Robert Leaman et al.· Communications Medicine· 0 citations
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
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.· npj Digital Medicine· 1 citation· ⚡1
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