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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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相关实验视频

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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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心脏病学中的人工智能:一项文献计量研究

Yalan Zhang1, Jingwen Xie2, Enlong Fu2

  • 1Department of Pharmacy, The Second Affiliated Hospital of Fujian Medical University Quanzhou, Fujian, China.

American journal of translational research
|April 8, 2024
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这份图书统计分析显示,人工智能 (AI) 在心脏病学中的应用正在迅速增长,美国是研究的领导者. 未来的工作可能将集中在机器学习和深度学习,用于疾病预测和治疗.

关键词:
心脏病学 心脏病学人工智能的人工智能是人工智能.深度学习是一种深度学习.热点是热点的热点.机器学习是机器学习.趋势 趋势 趋势

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科学领域:

  • 心脏病学 心脏病学
  • 医疗信息学 医疗信息学
  • 人工智能的人工智能

背景情况:

  • 人工智能 (AI) 越来越多地融入医学研究和实践.
  • 心脏病学是从人工智能进步中受益的一个关键领域.
  • 了解全球研究格局对于未来的发展至关重要.

研究的目的:

  • 对有关心脏病学人工智能应用的全球出版物进行全面的文献计量分析.
  • 确定关键趋势,研究热点和该领域的主要贡献者.
  • 提供关于人工智能在心脏病学中的未来轨迹的见解.

主要方法:

  • 在2002-2022年心脏病学出版物中对AI进行了系统的搜索,使用了Web of Science核心集合.
  • 用R包"bibliometrix",VOSviewers和微软Excel进行了图书识别分析.
  • 提取和分析了定量和定性数据,以映射研究成果.

主要成果:

  • 总共分析了4332篇文章,表明了重要的研究成果.
  • 美国成为出版的领先国家,其次是中国和英国.
  • 哈佛大学,加利福尼亚大学系统和伦敦大学是最富有成效的机构. 关键的研究领域包括疾病风险预测,诊断,治疗,检测和预后.

结论:

  • 国际和机构间的合作对于推进心脏病学中人工智能应用至关重要.
  • 预计在不久的将来,机器学习和深度学习将成为心脏病学领域的主要研究重点.
  • 人工智能的持续研究和开发可能会彻底改变心血管保健.