人工智能和机器学习对COVID-19相关询问的响应
1Faculty of Computer Studies, Arab Open University, Kuwait.
Journal of medical engineering & technology
|April 16, 2024
概括
人工智能 (AI) 和机器学习 (ML) 为疾病诊断和病毒制提供了强大的计算模型. 这篇论文回顾了AI和ML在应对COVID-19大流行中的应用,强调它们对诊断,严重程度评估和治疗策略的影响.
科学领域:
- 计算机科学 计算机科学
- 医学 医学 医学 医学 医学
- 公共卫生 公共卫生
背景情况:
- 随着COVID-19的爆发,人们越来越需要先进的数据分析工具.
- 人工智能 (AI) 和机器学习 (ML) 已经成为处理复杂健康数据的关键技术.
研究的目的:
- 综合审查AI和ML在应对COVID-19大流行中的作用.
- 确定AI/ML在各种COVID-19场景中提供的关键应用和潜在解决方案.
主要方法:
- 学术和研究研究的广泛文献评论.
- 对用于COVID-19决策的人工智能算法的实际实施进行分析.
主要成果:
- AI/ML通过医学成像 (X射线,CT) 显著影响COVID-19诊断.
- 应用范围扩展到预测疾病严重程度,跟踪传播,优化治疗和药物开发.
- 确定了许多AI/ML可以提供高效解决方案的领域.
结论:
- 人工智能和机器学习是管理和缓解COVID-19等流行病的不可或缺的工具.
- 对AI/ML的进一步研究和实施对于未来的公共卫生挑战至关重要.
- 该研究还讨论了与AI/ML部署相关的局限性,限制和危险.
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