癌症中的大型语言模型:潜力,风险和保护措施
Md Muntasir Zitu1,2, Tuan Dung Le2, Thanh Duong2
1Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States.
BJR artificial intelligence
|January 8, 2025
概括
大型语言模型 (LLM) 在癌症研究中显示出数据分析和患者互动的前景. 然而,对数据偏差和伦理问题等风险的仔细考虑对于负责地将AI整合到瘤学中至关重要.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 大型语言模型 (LLM) 正在越来越多地被用于医疗保健中的应用.
- 人工智能在癌症研究中的整合既带来了机遇,也带来了挑战.
研究的目的:
- 审查目前关于LLMs在癌症研究中的使用的文献.
- 分析与瘤学LLM相关的能力,风险和伦理考虑.
主要方法:
- 对PubMed,Embase和Ovid Medline (2017-2024) 的文章进行系统审查.
- 搜索术语包括LLM,癌症研究,风险,保障和伦理问题.
- 59篇文章的分类包括定量研究,聊天机器人专注研究和定性研究.
主要成果:
- 法律学士证明了先进的自然语言处理 (NLP) 能力.
- 聊天机器人应用程序在临床支持和癌症数据管理方面显示出潜力.
- 定性研究强调风险,包括数据偏差和道德问题.
结论:
- 像ChatGPT这样的LLM在癌症数据分析,患者互动和个性化治疗方面提供了潜在的好处.
- 一种平衡的方法,专注于准确性,道德完整性和数据隐私是必不可少的.
- 为了在瘤学中负责任地应用人工智能,需要进一步的研究和监管监督.
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