人工智能在一个健康的管理:一个更新
Swaroop Kumar Pandey1, Ayush Kulshreshtha1, Anuja Mishra1
1Department of Biotechnology, Institute of Applied Science & Humanities, GLA University, Mathura - 281406, U.P., India.
Current molecular medicine
|October 30, 2025
概括
人工智能 (AI) 和机器学习 (ML) 正在通过改善疾病预测,诊断和监测来彻底改变One Health. 这些技术增强了全球卫生安全和环境监测工作.
科学领域:
- 全球健康 全球健康
- 环境科学 环境科学
- 兽医医学 兽医医学 兽医医学
- 计算机科学 计算机科学
背景情况:
- 一个健康概念突出了相互关联的环境,动物和人类健康.
- 全球越来越多的健康风险需要协调,预防性战略.
- 城市化,全球化和气候变化加剧了健康挑战.
研究的目的:
- 审查人工智能和机器学习对"一个健康"范式的变革性影响.
- 探索AI/ML在疾病监测,诊断和预测中的应用.
- 强调AI/ML在应对环境和公共卫生风险方面的作用.
主要方法:
- 审查当前的AI和ML技术应用于一个健康.
- 分析人工智能驱动的工具,如预测分析和深度学习模型.
- 检查AI在疾病监测和环境监测中的应用.
主要成果:
- 人工智能和机器学习显著提高了疾病爆发的识别和预测.
- 这些技术优化了资源分配,并支持公共卫生干预.
- AI/ML有助于预测污染和息地变化的健康风险.
- 通过AI/ML改进环境监测能力.
结论:
- 人工智能和机器学习对于推进"一个健康"议程至关重要.
- 国际合作和包容性政策制定对于利用AI/ML至关重要.
- 人工智能/ML为管理复杂,相互关联的健康威胁提供了强大的工具.
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