利用数据和技术增强跨学科合作和健康成果
Oscar Tamburis1, Arriel Benis2,
1Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy.
这项研究回顾了从2022年开始的顶级"信息化为健康"研究,强调了数字健康,人工智能和环境因素. 这些发现对于理解复杂的相互作用来保护人类和生态系统健康至关重要.
科学领域:
- 一个健康的信息学.
- 数字健康数字健康
- 人工智能的人工智能
背景情况:
- 一个健康的方法认识到人类,动物和环境健康的相互联系.
- 信息学在这些领域整合和分析数据方面发挥着关键作用.
研究的目的:
- 提供信息学为一个健康的最新研究的概述.
- 确定并介绍2022年在这一领域发表的最佳论文.
主要方法:
- 在PubMed和Web of Science的广泛文献搜索 (2021年12月至2022年12月).
- 多步骤的选择过程涉及部分编辑,外部审稿人和编辑委员会.
- 专注于"信息学为一个健康"领域内的同行评审文章.
主要成果:
- 选出的论文解决了信息学为一个健康的重大挑战.
- 关键趋势包括医疗人工智能 (AI) 工具的部署.
- 在One Health框架内实施FAIR原则 (可查找,可访问,可互操作,可重复使用) 也是一个值得注意的趋势.
- 论文的分类: 1) 通过数字技术改善健康, 2) 气候变化/环境/生物多样性, 3) 医疗保健服务的成熟度.
结论:
- 一个健康的信息学对于理解复杂的相互作用越来越重要.
- 这一领域对于保护人口和生态系统的健康至关重要.
- 未来的研究应该专注于利用信息学来应对全球卫生挑战.
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