计算医学:七十年的加速增长
Louis E Leff1, Mara L Koperwas2
1University of Pittsburgh School of Medicine, Pa.
The American journal of medicine
|March 31, 2024
概括
计算医学,使用基于证据的工具,在过去的70年里显著增长. 现代计算方法和人工智能正在推进医疗实践并解决健康差异.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 计算医学已经发展了70多年,将客观,基于证据的决策工具整合到医疗保健中.
- 它的应用涵盖临床实践,研究和卫生系统管理.
- 该领域涵盖了广泛的方法,从早期评分系统到先进的计算技术.
研究的目的:
- 审查计算医学的历史发展和各种方法.
- 量化计算医学在医学文献中的增长.
- 探索计算医学在解决种族和民族医疗保健差异方面的作用.
主要方法:
- 关键里程碑的历史回顾,从Apgar得分开始.
- 分析现代计算工具,包括机器学习,自然语言处理 (NLP),人工智能 (AI) 和in silico研究.
- 使用引用数据库和NLP进行分析,对出版物增长的定量评估.
主要成果:
- 这一领域在过去的七十年中表现出了实质性的增长.
- 一个超过180万个引用的数据库表明了快速加速,每天有超过460个新的引用.
- NLP分析揭示了计算方法在医学中的扩大范围和影响.
结论:
- 计算医学是一个快速发展的领域,对医疗实践和研究做出了重大贡献.
- 现代计算工具正在推动创新,并扩大基于证据的医学决策的能力.
- 该领域正在积极探索其在促进健康公平和减少医疗保健差异方面的潜力.
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