机器学习在儿童呼吸系统疾病诊疗中的应用进展  

Progress in the application of machine learning in the diagnosis and treatment of pediatric respiratory diseases

作　　者：余杭 张婧杰 高祥瑞 杨志国[2] 徐丁[3] YU Hang;ZHANG Jingjie;GAO Xiangrui;YANG Zhiguo;XU Ding(The Second Clinical Medical School,Lanzhou University,Lanzhou 730000,China;Pediatric Intensive Care Unit,The Second Hospital of Lanzhou University,Lanzhou 730000,China;Neonatal Intensive Care Unit,The Second Hospital of Lanzhou University,Lanzhou 730000,China)

机构地区：[1]兰州大学第二临床医学院,甘肃兰州730030 [2]兰州大学第二医院儿童重症医学科,甘肃兰州730030 [3]兰州大学第二医院新生儿重症监护科,甘肃兰州730030

出　　处：《兰州大学学报(医学版)》2025年第1期82-87,共6页Journal of Lanzhou University(Medical Sciences)

基　　金：甘肃省科技计划项目(24JRRA345)。

摘　　要：呼吸系统疾病是儿童最常见的一类疾病。近年来,人工智能在医学领域的研究和应用逐渐兴起,机器学习作为人工智能领域的重要方法,为儿童呼吸疾病的诊断、治疗提供了新的思路。本文从诊断、精准分型及治疗方法等方面,对机器学习在呼吸系统疾病诊疗中的应用及研究进展进行阐述,分析机器学习在相关领域的优势和局限性,并展望其未来的发展方向。Respiratory diseases are among the most common ailments in children.In recent years,the application of artificial intelligence in the medical field has been rapidly advancing,with machine learning emerging as a crucial method within this domain.Machine learning offers new perspectives for the diagnosis and treatment of pediatric respiratory diseases.This review explored the application and research progress of ma-chine learning in the diagnosis,precise classification,and treatment of respiratory diseases.Additionally,it will analyzed the advantages and limitations of machine learning in these areas,to provide an outlook on its future development.

关 键 词：人工智能 机器学习 呼吸系统疾病 儿童 

分 类 号：R725.6[医药卫生—儿科]