基于机器学习的关于心肌病和心力衰竭研究的见解:从2005年到2024年的文献分析分析
Muhammad Junaid Akram1,2, Asad Nawaz1,2, Yuan Yuxing1,2
1Ministry of Education Key Laboratory of Child Development and Disorders, Department of Pediatric Cardiology, National Clinical Key Cardiovascular Specialty, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Frontiers in medicine
|August 11, 2025
概括
机器学习和人工智能正在彻底改变心肌病和心力衰竭研究,提高诊断和治疗策略. 未来的工作必须解决道德考虑和数据标准化,以实现公平的全球访问.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 生物医学研究生物医学研究
背景情况:
- 心肌病和心力衰竭在心脏病学中提出了重大挑战.
- 机器学习 (ML) 和人工智能 (AI) 的整合对于诊断,风险预测和治疗越来越重要.
- 这项研究分析了ML/AI在心肌病和心力衰竭方面的全球研究趋势.
研究的目的:
- 评估2005-2024年对心肌病和心力衰竭的ML/AI的全球研究趋势.
- 在这个研究领域确定有影响力的贡献和新兴主题.
- 评估出版成果,引用影响和合作模式.
主要方法:
- 从科学网络核心集合 (WoSCC) 中对2,110篇出版物的图书统计分析.
- 在分析中使用了R包bibliometrix-biblioshiny,VOSviewer,Scimago Graphica和CiteSpace.
- 检查了关键指标,包括机构,国家,期刊,关键词,合著和引用趋势.
主要成果:
- 美国,中国和英国是主要贡献者,梅奥诊所和哈佛大学具有很大的影响力.
- 诸如"心力衰竭"",风险"",诊断"和"人工智能"等关键词占主导地位,这表明人们专注于预测分析.
- 研究表明,人们正在转向先进的机器学习技术,主要研究人员做出了显著的贡献,并进行了强大的全球合作,尽管存在差异.
结论:
- 机器学习和人工智能正在动态发展心肌病学研究,显著推进诊断和治疗.
- 未来的研究应该侧重于可扩展性,数据标准化和道德考虑.
- 应对这些挑战对于公平实施人工智能技术至关重要,尤其是在代表性不足的地区.
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