使用基于人工智能 (AI) 的方法应对COVID-19危机:系统审查
Kavya Singh1, Navjeet Kaur2, Ashish Prabhu3
1Department of Biotechnology, Banasthali University, Banasthali Vidyapith, Banasthali, 304022, Rajasthan, India.
Current topics in medicinal chemistry
|February 6, 2024
概括
人工智能 (AI) 和机器学习 (ML) 为打击COVID-19提供了强大的工具,有助于早期检测,诊断和药物开发. 这篇评论强调了人工智能.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 流行病学 流行病学
背景情况:
- 由于COVID-19的流行,需要创新的解决方案,这导致了人工智能 (AI) 和机器学习 (ML) 技术的采用.
- 人工智能/ML工具在应对大流行所带来的复杂挑战方面发挥了重要作用,从诊断到公共卫生干预.
研究的目的:
- 评估人工智能在打击COVID-19中的作用,重点关注检测,诊断,死亡率预测和疫苗/药物开发.
- 为管理COVID-19爆发的AI应用提供全面的审查.
主要方法:
- 在PubMed,Web of Science和Science Direct中使用PRISMA指南进行了系统的文献搜索.
- 搜索术语包括"COVID-19"和AI特定的关键字,涵盖了2019年12月至2023年8月的出版物.
主要成果:
- 在961篇文章中,有135篇被选中进行审查,重点关注COVID-19中的AI应用.
- 主要领域包括检测/诊断 (60篇论文),死亡率预测 (19篇论文),疫苗/药物开发 (22篇论文) 和流行病控制.
结论:
- 基于人工智能的方法为COVID-19研究的各个方面提供了有价值的见解.
- 这些发现突出了必要的数据类型和工具,这些数据类型和工具可以促进对未来疫情的医学和翻译研究.
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