人工智能在打击传染病爆发中的作用和局限性
Hiba H Ali1, Haya M Ali1, Hera M Ali1
1College of Medicine, Batterjee Medical College, Jeddah, SAU.
Cureus
|February 7, 2025
概括
人工智能 (AI) 通过改善疾病预测,诊断和药物发现来增强流行病管理. 将人工智能与人类专业知识相结合,对于克服数据隐私等挑战和最大限度地影响未来疫情至关重要.
科学领域:
- 传染病流行病学 传染病流行病学
- 计算生物学 计算生物学
- 公共卫生 公共卫生
背景情况:
- 流行病对全球健康构成重大威胁,需要先进的工具来有效管理.
- 人工智能 (AI) 为应对传染病爆发的复杂挑战提供了新的能力.
- 传统的方法往往难以达到现代流行病应对所需的速度和规模.
研究的目的:
- 探索人工智能在管理传染病爆发中的多样化应用.
- 审查人工智能在疾病预测,诊断,药物发现和疫苗开发中的作用.
- 确定局限性,并提出优化AI整合在流行病准备中的战略.
主要方法:
- 关于人工智能在传染病管理中的应用现有文献的综述.
- 分析人工智能驱动的技术,如深度学习和强化学习.
- 检查例证研究,说明AI对疫情应对的影响.
主要成果:
- 人工智能显著提高了诊断的准确性,并加速了药物和疫苗的开发.
- 人工智能驱动的预测建模有助于疫情预测和实时决策.
- 关键的局限性包括数据隐私问题,模型透明度问题以及持续适应的需要.
结论:
- 人工智能是加强流行病管理的强大工具,在预测,诊断和开发方面提供了巨大的好处.
- 解决与数据隐私,透明度和适应性相关的挑战对于广泛采用人工智能至关重要.
- 将人工智能能力与人类专业知识相结合的协同方法对于优化全球健康结果和未来的流行病准备至关重要.
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