机器学习在初级医疗保健:研究景观
Jernej Završnik1,2, Peter Kokol1,3, Bojan Žlahtič3
1Community Healthcare Center Dr. Adolf Drolc Maribor, 2000 Maribor, Slovenia.
Healthcare (Basel, Switzerland)
|July 12, 2025
概括
人工智能和机器学习正在通过提高早期诊断和患者沟通来改变初级医疗保健. 这项研究绘制了这个快速发展的领域的关键全球参与者和新兴主题.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 医疗保健的数字化转型依赖于人工智能和机器学习.
- 这些技术旨在提高初级卫生系统的效率,有效性,公平性和响应性.
- 该研究重点关注AI和ML在初级医疗保健服务中的作用.
研究的目的:
- 确定领先的国家,机构和资助赞助商在AI和ML的初级医疗保健.
- 分析出版趋势和关键研究主题.
- 了解AI和ML在解决诊断挑战和改善患者护理方面的应用.
主要方法:
- 综合的知识合成.
- 图书统计分析. 图书统计分析.
- 主题分析. 主题分析.
主要成果:
- 美国和英国是生产率最高的国家.
- 主要期刊包括Plos One和BJM Open;主要的资助者是美国国家卫生研究院和中国国家自然科学基金会.
- 出版趋势显示出积极的指数增长,主要主题包括用于临床决策的自然语言处理,初级保健优化,健康的社会决定因素和聊天机器人应用.
结论:
- 在初级保健中,机器学习旨在减少错过的诊断机会.
- 人工智能应用旨在尽量减少对患者的不良影响.
- 这项研究强调了人工智能和机器学习对初级医疗保健和患者结果的影响日益增加.
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