应用主题建模对人工智能研究作为一个基础,在非洲裔美国人的痴呆症护理发展道德准则
Sunmoo Yoon1, Peter Broadwell2, Frederick F Sun1
1General Medicine, Department of Medicine, Columbia University, New York, NY, USA.
Studies in health technology and informatics
|June 30, 2023
概括
人工智能 (AI) 和人口统计学研究在COVID-19后激增. 主题转向健康和技术,影响未来的人工智能对痴呆症护理人员的伦理准则.
科学领域:
- 医疗信息学 医疗信息学
- 计算社会科学 计算社会科学
- 公共卫生 公共卫生
背景情况:
- 人工智能 (AI) 和人口统计学的交集是一个日益增长的研究领域.
- 由于COVID-19的流行,它可能会影响研究趋势和重点领域.
- 了解这些转变对于指导未来的人工智能开发和道德考虑至关重要.
研究的目的:
- 分析有关人工智能和人口统计学在COVID-19大流行之前和之后的科学文献的趋势.
- 在这个领域内确定研究主题的转变.
- 为开发人工智能应用程序的伦理准则奠定基础,特别是针对非洲裔美国痴呆症护理人员等弱势群体.
主要方法:
- 自然语言处理和主题建模应用于263篇MEDLINE索引论文的论文集.
- 该库被分为两组:COVID-19前和COVID-19后.
- 使用统计分析来建模出版物中的增长趋势.
主要成果:
- 在COVID-19大流行后,人工智能和人口统计学研究的显著指数增长被观察到 (从40到223篇论文).
- 疫情后,研究主题越来越关注诊断成像,生活质量,COVID-19,心理学和智能手机使用.
- 与癌症相关的主题显示,流行病后的流行率下降.
结论:
- 随着COVID-19的流行,人工智能和人口统计学的交叉点上的研究明显加速了.
- 新兴的研究主题突出了人工智能在医疗保健,心理健康和数字健康方面的日益重要.
- 这些发现强调了需要道德框架来指导人工智能的负责任实施,特别是在敏感领域,如为特定的人口群体提供痴呆症护理.
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