大型语言模型在医疗保健中的潜力:德尔菲研究
Kerstin Denecke1, Richard May2, 3
1Bern University of Applied Sciences, Biel, Switzerland.
Journal of medical Internet research
|May 13, 2024
概括
研究人员确定了在医疗保健中使用大语言模型 (LLM) 的关键好处和风险,包括提高效率和患者护理,以及对网络安全,错误信息和道德考虑的担忧. 未来的研究应该专注于实际的整合和监管需求.
科学领域:
- 医疗信息学 医疗信息学
- 医学自然语言处理 (NLP)
背景情况:
- 大型语言模型 (LLM) 是在庞大的文本数据上训练的先进AI系统.
- LLM使用具有变压器架构和注意力机制的神经网络.
- 他们擅长各种NLP任务,包括分类,信息提取和生成.
研究的目的:
- 收集研究人员关于LLMs在医疗保健的影响的观点.
- 确定与在医疗保健环境中实施LLM相关的优点,弱点,机会和威胁.
主要方法:
- 一个适应的Delphi研究,涉及健康信息学,护理信息学和医学NLP的研究人员.
- 三轮数据收集,从开放式问题开始,到项目评分.
- 在三个轮比赛中分别包括了28,23和21名参与者.
主要成果:
- 在103个项目上达成协议,这些项目涉及LLM的用例,好处,风险以及未来在医疗保健中的整合.
- 确定的用例包括临床任务支持,文档,医学研究和患者教育.
- 关键的好处包括提高效率,提高自动化,提高护理质量,个性化医疗和加速诊断.
- 确定的风险包括网络安全漏洞,患者错误信息,道德问题,有偏见的决策和隐私漏洞.
结论:
- 未来的法学士研究必须超越NLP任务,解决实际工作流集成问题.
- 重要考虑因素包括质量标准,系统集成和监管框架,以成功实施医疗保健.
关键词:
德尔菲是什么意思 德尔菲是什么意思 德尔菲是什么意思德尔菲的研究研究研究.在法律上,LLMs.在NLP中,我们使用了NLP.人工智能的人工智能是人工智能.我们的态度 态度 态度 态度 态度他们的态度和态度.经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经历经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验经验未来的未来 未来的未来医疗保健 医疗保健 医疗保健实施实施实施实施实施.信息学是一个信息学领域.创新 创新 创新 创新 创新 创新面试 面试 面试 面试 面试面试 面试 面试 面试语言模型语言模型大型语言模型.自然语言处理自然语言处理.意见 意见 意见 意见感知 感知 感知 感知感知 感知 感知 感知这是一个前景,一个视角,一个视角.这就是前景,前景,前景.相关概念视频
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