大型语言模型在癌症治疗中的应用:当前的证据和未来的前景
Giovanni Maria Iannantuono1,2, Dara Bracken-Clarke3, Charalampos S Floudas3
1Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
大型语言模型 (LLM) 在瘤学中表现有前途,但对准确性的担忧需要专家审查. 精心实施生成性AI对于癌症护理至关重要,以最大限度地提高效益并最大限度地降低风险.
科学领域:
- 生成型的人工智能 (AI)
- 自然语言处理 (NLP) 是一种自然语言处理.
背景情况:
- 大型语言模型 (LLM) 是一种先进的AI,能够执行各种NLP任务.
- 新兴研究探讨了LLM在医学中的应用,特别是瘤学.
研究的目的:
- 审查目前关于LLM在瘤学中的使用证据.
- 评估LLM如ChatGPT在癌症护理中的性能和局限性.
主要方法:
- 对瘤学LLM发表的研究进行系统审查.
- 对LLM (ChatGPT,Google Bard,Chatsonic,Perplexity) 的评估,以确定与癌症有关的信息的准确性.
主要成果:
- 专业的LLM可以提供有关实体瘤查和管理的相关信息.
- 观察到显著的错误率和过时的数据,突出显示了错误信息的风险.
- 专家验证对于确保LLM生成内容的可靠性至关重要.
结论:
- 包括LLM在内的生成AI有可能改变癌症护理.
- 制定指南是必要的,以安全地整合这些工具,平衡好处和风险.
- 专家监督是强制性的,以减轻人工智能生成的不准确医疗信息带来的潜在危害.
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