利用人工智能用于疟疾诊断的诊断准确性:系统性审查和元分析
Icha Farihah Deniyati Faratisha1,2, Khadijah Cahya Yunita2, Hanifa Rizky Rahmawati2
1Master Program in Biomedical Science, Faculty of Medicine, Universitas Brawijaya, Malang 65145, Indonesia.
Infectious disease reports
|January 21, 2026
概括
人工智能 (AI) 在疟疾诊断中显示出高准确度,与显微镜和PCR相比. 这种人工智能工具为全球疟疾控制工作提供了一个有希望的,自动化的和具有成本效益的解决方案.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 计算生物学 计算生物学
- 传染病研究 传染病研究
背景情况:
- 疟疾是一个重要的全球卫生问题.
- 微观血液涂抹检查是目前疟疾诊断的黄金标准,需要专业知识,并在资源有限的环境中限制准确性.
- 人工智能 (AI) 提出了一种新的方法来增强疟疾检测能力.
研究的目的:
- 系统地审查基于AI的系统在临床环境中用于疟疾检测的诊断性能.
- 评估人工智能的准确性与既有诊断方法相比.
主要方法:
- 根据PRISMA指南进行了系统审查,分析了过去十年的文章.
- 在主要数据库中进行文献搜索:PubMed,ScienceDirect,Cochrane,EBSCO和威利在线图书馆.
- 包含的研究报告了AI诊断准确度与外部验证,并使用QUADAS-2评估质量.
主要成果:
- 分析了10项涉及6754名患者的研究.
- 与显微镜相比,AI的综合灵敏度为87.7%,特异性为91.4%.
- 与聚合酶链反应 (PCR) 相比,AI的灵敏度为90.7%,特异性为88.3%.
结论:
- 基于人工智能的系统为疟疾诊断提供了高精度,自动化和成本效益.
- 人工智能性能与显微镜和PCR等参考标准相提并论.
- 人工智能是改善全球疟疾控制战略的宝贵补充工具.
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