在COVID-19大流行期间,人工智能的创新应用
Chenrui Lv1, Wenqiang Guo1, Xinyi Yin1
1Huazhong Agricultural University, Wuhan 430070, China.
Infectious medicine
|April 8, 2024
概括
人工智能 (AI) 为管理COVID-19大流行提供了强大的解决方案,有助于预测,检测和药物发现. 解决数据质量和伦理等挑战对AI至关重要.
科学领域:
- 传染病流行病学 传染病流行病学
- 公共卫生 公共卫生
- 人工智能的人工智能
背景情况:
- COVID-19 流行病在公共卫生,经济和社会领域提出了重大全球挑战.
- 人工智能 (AI) 技术在解决与流行病有关的问题方面显示出巨大的潜力.
研究的目的:
- 审查人工智能在管理和应对COVID-19大流行中的多样化应用.
- 突出AI在预测,检测,控制和COVID-19药物发现方面的作用.
主要方法:
- 利用临床,流行病学和omics数据,在COVID-19预测中对AI应用的审查.
- 通过医学成像 (深度神经网络) 分析人工智能驱动的快速诊断方法.
- 在风险评估,决策,社会感知和药物发现 (虚拟查) 中检查AI.
主要成果:
- 基于人工智能的预测模型预测疾病传播和患者的结果.
- 深度神经网络可以通过医学图像进行快速诊断.
- 人工智能加速了药物候选人的识别和重新利用机会.
结论:
- 人工智能为流行病管理提供创新解决方案,从预测到治疗.
- 克服数据质量,概括和道德问题等障碍对于AI实施至关重要.
- 跨学科的合作对于开发有效和负责任的AI解决方案来应对公共卫生紧急情况至关重要.
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