瘤学中的人工智能:确保在临床实践中安全有效地整合语言模型
Loïc Verlingue1,2, Clara Boyer1, Louise Olgiati1
1Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, France.
The Lancet regional health. Europe
|September 18, 2024
概括
人工智能 (AI) 和自然语言处理正在通过提高治疗决策来彻底改变医疗瘤学. 严格的临床评估至关重要,以确保人工智能工具在患者护理中安全有效.
科学领域:
- 医疗信息学 医疗信息学
- 在瘤学瘤学.
- 人工智能的人工智能
背景情况:
- 大多数医学内容都是非结构化的叙事文本.
- 自然语言处理 (NLP) 是临床决策支持的关键.
- 大型语言模型 (LLM) 在医疗应用中表现出高性能.
研究的目的:
- 审查人工智能在医学中进行文本分析的进展.
- 专注于AI在瘤治疗决策中的作用.
- 倡导人工智能工具的临床验证.
主要方法:
- 审查人工智能和NLP最近的发展情况.
- 讨论瘤学的新兴应用.
- 强调未来临床评估的必要性.
主要成果:
- 人工智能,特别是LLM,在瘤学中提供了巨大的潜力.
- 应用包括预后,治疗建议和临床试验匹配.
- 人工智能可以帮助多学科的瘤委员会做出决定.
结论:
- 人工智能驱动的决策支持系统在瘤学方面表现有前途.
- 全球前性临床评估对于验证至关重要.
- 确保安全性,有效性和解决偏见对于临床整合至关重要.
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