Early diagnosis and timely intervention in severe pneumonia play a vital role in reducing mortality rates of children with pneunomia.Machine learning（ML）holds potential advantages in the early diagnosis and treatment of severe pneumonia.This article analyzes the application progress of ML in three key clinical domains of severe pneumonia in children：early warning，diagnosis，and prognosis prediction, aiming to establish intelligent digital tools for early detection，precise diagnosis and treatment，and stratified management of severe pneumonia in children.

pediatric severe pneumonia, machine learning, multi-omics approaches, precision medicine

早期诊治重症肺炎对降低儿童肺炎病死率有重要作用。机器学习技术在早期诊治重症肺炎中有潜在优势。该文分析机器学习技术在儿童重症肺炎预警、诊断、预后预测中的应用进展，为重症肺炎早期识别、精准诊疗和分层管理提供智能化、数字化工具。

儿童重症肺炎, 机器学习, 多组学方法, 精准医疗