人工智能和传染病诊断:现状和未来的前景
Luca Miglietta1, Timothy M Rawson2, Ronald Galiwango3
1Centre for Antimicrobial Optimisation Network, Department of Infectious Disease, Imperial College London, London, UK.
The Lancet. Infectious diseases
|September 19, 2025
概括
人工智能 (AI) 增强了传染病的诊断和监测. 解决数据,基础设施和监管挑战对于公平的全球采用和改善健康弹性至关重要.
科学领域:
- 传染病诊断 传染病诊断 传染病诊断
- 医疗人工智能的人工智能
- 全球卫生健康 全球卫生健康
背景情况:
- 人工智能 (AI) 正在改变传染病诊断,改善临床决策,实验室工作流程和实时监控.
- 人工智能增强了病原体检测,抗微生物管理和治疗监测,提高了准确性,效率和可扩展性.
研究的目的:
- 检查人工智能在传染病诊断中的作用,突出机会和局限性.
- 强调需要协调努力,以支持在医疗保健中公平和可持续地采用人工智能.
主要方法:
- 审查当前的AI应用在传染病诊断中的应用.
- 分析阻碍在高收入和中低收入国家广泛采用人工智能的挑战.
- 检查障碍,包括数据碎片化,算法偏差,基础设施限制和监管问题.
主要成果:
- 人工智能显著提高了传染病和抗菌素耐药性的诊断准确性,效率和可扩展性.
- 广泛采用受到碎片化数据,偏见,有限的基础设施和财务限制的阻碍,特别是在LMICs.
- 互操作性,数据隐私,网络安全和监管构成了进一步的实施挑战.
结论:
- 对数字基础设施的协调投资,统一的数据共享和临床医生的参与对于公平的AI采用至关重要.
- 应对这些挑战将使医疗保健系统能够利用人工智能来更好地检测,预防和管理传染病.
- 利用人工智能的潜力可以增强全球对传染病的健康抵抗力.
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