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<p>Large language models (LLMs) have expanded the capabilities of AI and created new opportunities in medicine. To promote the development of safe and innovative digital health tools, there must be public biosignals datasets that encourage research and provide benchmarks. Multiple current examples involve data use agreements that restrict LLM studies. This work presents recommendations to ensure that public releases of biosignals data can ethically facilitate LLM research efforts.</p>

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LLM research on public biosignals data is needed to protect patients

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月4日

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  • James Anibal,
  • Jasmine Gunkel,
  • Hannah Huth,
  • Bradford J. Wood

摘要

Large language models (LLMs) have expanded the capabilities of AI and created new opportunities in medicine. To promote the development of safe and innovative digital health tools, there must be public biosignals datasets that encourage research and provide benchmarks. Multiple current examples involve data use agreements that restrict LLM studies. This work presents recommendations to ensure that public releases of biosignals data can ethically facilitate LLM research efforts.