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社区获得性肺炎（CAP）发病率与病死率颇高，传统病原体检测耗时长且检出率低，影像学检查快速但鉴别能力有限。人工智能（AI）在肺炎诊治需求推动下，于CAP病原体鉴别中崭露头角。本文综述AI在CAP病原体影像学鉴别方面的应用进展。
Abstract：Community-acquired pneumonia(CAP) has a relatively high incidence and mortality rate. Traditional pathogen detection methods are time-consuming and have a low detection rate, while imaging examinations are rapid but have limited discriminatory power. Driven by the demand for the diagnosis and treatment of pneumonia, artificial intelligence(AI) has emerged in the identification of CAP pathogens. This article reviews the application progress of AI in the imaging-based identification of pathogens in CAP.
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基本信息:
DOI：
中图分类号:R563.1;TP18
引用信息:
[1]谢云明,郭光辉,林楚欣等.社区获得性肺炎病原体影像鉴别中人工智能的应用进展[J].影像诊断与介入放射学,2025,34(02):123-131.
基金信息:
国家自然科学基金（82302311）