Research progress in the application of artificial intelligence in the early detection of infectious diseases in medical institutions
LUO Yingyu
FAN Peiyang
ZHOU Weilong
ZHAO Fei
HU Yiyi
HU Yue
LU Xingyu
LI Juan
Abstract：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.
Keywords：artificial intelligenceinfectious diseasesearly detectionmedical institutionsmultimodal data
Publication Date：2025-06-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 307-312 )