人与计算机的交互:人工智能和通信在医疗保健中的文献综述
Theo J Clay1, Zephy J Da Custodia Steel1, Chris Jacobs2
1Medical Education, University of Bristol, Bristol, GBR.
Cureus
|December 16, 2024
概括
人工智能 (AI),特别是大型语言模型 (LLM),通过提高清晰度和同理心,增强了患者与医生的沟通. 然而,人工智能的准确性和可靠性挑战需要进一步的研究,以确保安全的临床整合.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 卫生沟通 卫生沟通
背景情况:
- 人工智能 (AI) 的快速发展,特别是像ChatGPT这样的大型语言模型 (LLM),正在改变医疗保健沟通.
- 人工智能为增强患者与医生的互动提供了潜在的解决方案,解决了语言障碍和信息过载等挑战.
研究的目的:
- 审查人工智能在患者与医生的沟通中的作用.
- 探索人工智能弥合语言差距,总结医疗数据和提供同情反应的能力.
- 确定AI在医疗保健沟通中的优势和局限性.
主要方法:
- 在患者与医生的互动中对人工智能应用的文献综述.
- 对人工智能模型研究的分析,如ChatGPT和Med-PaLM.
- 评估AI的沟通能力,包括准确性,清晰性和同理心.
主要成果:
- 人工智能在提供可理解,简洁和医学上准确的信息方面表现出强项.
- 研究表明,人工智能可以在同情心和清晰度方面表现出色,有时甚至超过人类医生.
- 像ChatGPT和Med-PaLM这样的AI模型在特定的沟通任务中显示出高效率.
结论:
- 人工智能具有重大潜力,可以彻底改变健康沟通,在清晰度,同理心和信息合成方面提供好处.
- 诸如人工智能不准确性和"幻觉"等挑战需要算法改进以获得可靠的临床使用.
- 进一步的研究和政策制定对于将人工智能安全有效地纳入临床实践至关重要.
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