通过人工智能以患者为中心的研究,以确定癌症护理的优先事项
Jiyeong Kim1, Michael L Chen1, Shawheen J Rezaei1
1Center for Digital Health, Stanford University School of Medicine, Stanford, California.
JAMA oncology
|April 24, 2025
概括
人工智能和自然语言处理分析患者的信息,以确定研究主题. 这种方法成功地产生了有意义和新的研究想法,反映了患者在癌症护理方面的担忧.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 以患者为中心的研究对医疗保健至关重要,但往往缺乏患者的观点.
- 弥合研究和患者护理之间的差距需要理解患者的担忧.
- 现有的健康研究不足以代表患者的声音.
研究的目的:
- 利用人工智能 (AI) 和自然语言处理 (NLP) 来分析患者的信息.
- 识别患者的关注点,并从大型数据集中生成相关的研究主题.
- 量化人工智能产生的研究主题的质量和相关性.
主要方法:
- 一系列案例采用了一种自动化框架,采用了两阶段无监督NLP主题模型.
- 分析了来自乳腺癌和皮肤癌患者的非识别患者门户信息.
- 一个大型语言模型 (ChatGPT-4o) 用于主题解释,生成和改进.
主要成果:
- 分析了来自25,000+个人的超过614,000个患者信息.
- 对于乳腺癌研究,人工智能生成的主题在有意义度方面得分为3.00,新性方面得分为3.29.
- 用于皮肤癌研究的人工智能生成的主题在有意义方面得分为2.67分,在新方面得分为3.09分.
- 很大一部分人工智能建议的主题显示出高度的意义和新性.
结论:
- 人工智能/NLP对患者信息的分析可以产生高质量的以患者为中心的研究主题.
- 这种方法为未来的健康研究提供了宝贵的指导.
- 这项研究强调了人工智能在癌症护理研究中的潜力.
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