通过人类现象型本体学进行人口健康管理,并制定生态系统改善政策
1Institute of Biomedical Sciences, London, United Kingdom.
Frontiers in artificial intelligence
|August 18, 2025
概括
本研究介绍了人口健康管理 (PHM) 的人类现象型本体学 (HPO) 政策,以改善医疗改革中的生态系统安全和技术. 它旨在通过公平的分类来推进生物建模 (BM),增强公众信任和患者安全,以实现社会经济成功.
科学领域:
- 生物信息学和计算生物学
- 公共卫生政策 公共卫生政策
- 医疗信息学 医疗信息学
背景情况:
- 在医疗生态系统中建立一个安全的基础需要强大的科学和技术评估.
- 人工智能 (AI) 和生物建模 (BM) 的整合需要严格的网络安全和隐私措施.
- 对于成功实施人口健康管理 (PHM) 计划,公众信任至关重要.
研究的目的:
- 为人类现象型本体学 (HPO) 提出全面的国家政策,以管理医疗改革和生态系统改进.
- 通过公平的分类和安全的技术,推进生物建模 (BM) 能力.
- 在公平的PHM生态系统中培养公众信任和患者安全.
主要方法:
- 制定一个有效的PHM的五点任务,强调基因组预测因素和AI分类.
- 与专家合作,在AI安全研究所内评估BM网络安全和隐私.
- 将资源分配给基因组医学科学和人工智能指标,以实现安全的HPO转换.
主要成果:
- 拟议的HPO政策促进了医疗改革和PHM的安全和安全的进步.
- 数字BM双胞胎和国际分类正在开发中,以支持全球PHM.
- 该政策促进采用HPO统一性,将研究转化为初级保健实践.
结论:
- 该手稿概述了通过HPO政策扩大英国和全球PHM生态系统的战略.
- 它强调开发安全,公平和可解释的BM,以建立公众信任.
- 在一个强大的生态系统中,公平的分类对于促进人口健康结果和经济增长至关重要.
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