医学人工智能领域最具影响力的100篇论文;图书统计分析
Fatima Zahoor1, Muhammad Abdullah2, Muhammad Waleed Tahir1
1King Edward Medical University, Lahore, Pakistan.
概括
这项研究分析了医学中关于人工智能的100个引用最多的文章. 了解医学的AI趋势对于未来的研究和资金分配至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 人工智能 (AI) 正在迅速改变医疗保健.
- 了解医学中人工智能最具影响力的研究对于指导未来发展至关重要.
研究的目的:
- 识别和分析医学人工智能领域最常引用的100篇原创文章.
- 评估当前的趋势,并确定医疗保健中人工智能应用的研究缺口.
主要方法:
- 一个通过Scopus数据库识别的11571项研究的文献分析分析.
- 包括标准允许广泛的原创研究,包括没有摘要或用非英语语言进行的研究.
- 选遵循系统审查和元分析 (PRISMA) 准则的首选报告项目,以提取最多引用的前100篇文章.
主要成果:
- 分析了100篇文章 (0.86%的确定的研究),发表于1986年至2021年之间.
- 每篇文章的引用次数中位数为43.
- "医学人工智能"杂志发表了最多的文章 (9%),美国是主要的来源国 (36%).
结论:
- 本文库分析突出了医学人工智能的关键趋势和有影响力的作品.
- 了解这些趋势对于将未来的研究工作和资金用于需要关注的领域至关重要.
- 这些发现可以指导当局在为医疗保健中有效的AI开发分配资源时提供指导.
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