摘要
近年来,传染病持续威胁全球公共卫生安全。作为传染病诊疗的核心场所,医疗机构在患者救治和疫情防控方面面临着巨大的风险和压力。早期精准识别传染病是开展有效治疗和遏制疫情传播的基础。人工智能技术在多源异构医疗数据处理方面展现出显著优势,为传染病的早期筛查和智能诊断提供了新的技术手段。本文综述了人工智能在传染病识别领域的研究进展,重点探讨了人工智能在不同场景下早期识别传染病的潜力,并对未来发展趋势和技术挑战进行展望。
In recent years,infectious diseases have persistently threatened global public health security.As the primary setting for infectious disease diagnosis and treatment,medical institutions face significant risks and pressure in patient care and epidemic prevention.Rapid and effective detection of infectious diseases is the basis for timely treatment and containment of the spread of epidemics.Artificial intelligence(AI)has demonstrated significant advantages in processing multi-source heterogeneous medical data,offering new technological pathways for the early screening and intelligent diagnosis of infectious diseases.This paper systematically reviews the research progress in the application of AI for AI-assisted disease detection.It specifically explores the potential of AI for early detection of infectious diseases in diverse scenarios,and discusses trends and technical challenges.
作者
罗瀛宇
范培杨
周威龙
赵霏
胡一弋
胡月
陆星宇
李娟
LUO Yingyu;FAN Peiyang;ZHOU Weilong;ZHAO Fei;HU Yiyi;HU Yue;LU Xingyu;LI Juan(Department of Healthcare-associated Infection Management,West China Second University Hospital of Sichuan University/West China Women’s and Children’s Hospital,Chengdu 610041,China;Key Laboratory of Birth Defects and Related Diseases of Women and Children,(Sichuan University),Ministry of Education,Chengdu 610041,China)
出处
《传染病信息》
2025年第3期307-312,共6页
Infectious Disease Information
基金
四川省科技厅项目(2024YFHZ0123)
成都市科技局项目(2022YF0501792SN)。
关键词
人工智能
传染病
早期识别
医疗机构
多模态数据
artificial intelligence
infectious diseases
early detection
medical institutions
multimodal data
