谷歌NotebookLM生成医疗内容有风险，需谨慎用于临床。
Generative AI in clinical practice: novel qualitative evidence of risk and responsible use of Google's NotebookLM
- 通过定性分析发现工具生成内容存在潜在临床风险
- 用户反馈显示其医学信息合成易出错且缺乏可追溯性
- 适合关注AI医疗应用伦理与安全的临床医生和研究人员
生成式人工智能，尤其是大语言模型（LLMs），为科研、临床实践和教育带来了创新机遇。近期Dihan等人称赞了谷歌NotebookLM的潜力，包括生成由AI配音的播客以向患者普及治疗与康复知识，以及为专业人士快速整合医学文献。然而我们指出，目前NotebookLM在临床和科技层面均存在风险，应在实际临床应用前进行充分测试与评估。
原文摘要 · Abstract (English)
The advent of generative artificial intelligence, especially large language models (LLMs), presents opportunities for innovation in research, clinical practice, and education. Recently, Dihan et al. lauded LLM tool NotebookLM's potential, including for generating AI-voiced podcasts to educate patients about treatment and rehabilitation, and for quickly synthesizing medical literature for professionals. We argue that NotebookLM presently poses clinical and technological risks that should be tested and considered prior to its implementation in clinical practice.
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