大型语言模型在瘤学:革命还是引起关注?
Aydin Caglayan1, Wojciech Slusarczyk2, Rukhshana Dina Rabbani1
1Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK.
Current oncology (Toronto, Ont.)
|April 26, 2024
概括
大型语言模型 (LLM) 在瘤学中为临床支持和研究提供了重大潜力. 然而,在广泛将人工智能纳入癌症护理之前,仔细考虑伦理和数据方面的问题至关重要.
科学领域:
- 人工智能的人工智能
- 在瘤学瘤学.
- 大型语言模型
背景情况:
- 人工智能 (AI) 能力正在迅速发展.
- 大型语言模型 (LLM) 提供了机遇和挑战.
- 人工智能在瘤学中的整合需要仔细评估.
研究的目的:
- 审查LLM在瘤学中的潜在应用.
- 识别和讨论关于LLM实施的局限性和担忧.
- 为未来的融合战略提供全面的概述.
主要方法:
- 对AI和LLM在瘤学中的应用进行文献综述.
- 对临床决策,教育和研究中的潜在益处的分析.
- 检查道德,数据安全和实际障碍.
主要成果:
- 法律学士学位显示出增强瘤学临床决策,教育和研究的前景.
- 重要挑战包括数据不准确性,数据保护和问责制.
- 解决这些问题对于成功采用人工智能至关重要.
结论:
- 在癌症治疗方面,LLM提供了变革性的潜力.
- 对道德和实践问题的积极管理是必不可少的.
- 人工智能在瘤学中的持续动态评估是必要的.
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