机器学习的新范式 - - 基础模型,大型语言模型及其他领域:医生必读书
1Centre for Health Services Research, University of Queensland, Woolloongabba, Australia.
Internal medicine journal
|May 8, 2024
概括
基金会机器学习模型,包括大型语言模型 (LLM),在医学中为自动化任务提供了变革性的潜力. 仔细的开发和评估对于降低风险和确保安全的临床整合至关重要.
科学领域:
- 人工智能的人工智能
- 机器学习 机器学习
- 医疗信息学 医疗信息学
背景情况:
- 基础模型代表了从特定任务的人工智能的范式转变.
- 像ChatGPT这样的大型语言模型 (LLM) 是著名的基于文本的基础模型.
- 法律学有潜力彻底改变医疗任务和临床决策.
研究的目的:
- 审查不同类型的LLMs.
- 探索LLMs在医学中的新兴应用.
- 讨论LLMs的局限性,偏见和未来的临床翻译.
主要方法:
- 这是一个叙事评论.
- 该综述综合了医学LLM的当前知识.
- 它涵盖了LLM类型,应用,风险和未来方向.
主要成果:
- LLM可以自动执行诸如总结医疗记录和回答患者查询等任务.
- 潜在的风险包括由于开发,评估和审查不足而造成的损害.
- 在LLMs中的偏见和局限性需要仔细考虑.
结论:
- 法律学士学位在改变医疗保健提供方面显示出显著的前景.
- 严格的监督对于在临床实践中安全有效地实施LLMs至关重要.
- 需要进一步的研究和开发,以便将负责任的翻译转化为医学.
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