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人工智能在脓毒症相关急性肺损伤的应用研究进展

Advances in the use of artificial intelligence in sepsis-associated acute lung injury

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【作者】 张祖光; 吕红旭; 何亚轩; 黄智佳; 斯日古楞; 王晓霞;

【Author】 ZHANG Zhuguang;LYU Hongxu;HE Yaxuan;HUANG Zhijia;Siri Guleng;WANG Xiaoxia;Affiliated Inner Mongolia Clinical Medicine College of Inner Mongolia Medical University;Jinzhong Vocational and Technical College;Graduate School of Baotou Medical College, Inner Mongolia University of Science & Technology;Department of Pharmacy, Inner Mongolia People’s Hospital;Critical Care Medicine, Inner Mongolia People’s Hospital;

【通讯作者】 斯日古楞;王晓霞;

【机构】 内蒙古医科大学内蒙古临床医学院; 晋中职业技术学院; 内蒙古科技大学包头医学院研究生院; 内蒙古自治区人民医院药学处; 内蒙古自治区人民医院重症医学科;

【摘要】 脓毒症相关急性肺损伤(sepsis associated-acute lung injury,SA-ALI)作为临床重症,严重威胁患者生命健康,其高发病率和病死率给医疗工作带来巨大挑战。目前,SA-ALI早期诊断困难,难以精准把握病情进展,治疗方案也缺乏个性化,导致患者预后不佳。近年来人工智能技术为SA-ALI诊疗带来希望。该文就人工智能对于SA-ALI的早期诊断、靶向治疗及预后管理等方面进行综述,为SA-ALI提供多维度解决方案,推动临床诊疗向精准化革新。

【Abstract】 Sepsis associated-acute lung injury(SA-ALI),as a serious clinical condition,seriously threatens patients’ lives and health,and its high morbidity and mortality rate pose a great challenge to medical work.Currently,early diagnosis of SA-ALI is difficult,and it is hard to accurately grasp the progression of the disease,and the treatment plan lacks personalization,leading to poor prognosis of patients.In recent years,artificial intelligence technology has brought hope for the diagnosis and treatment of SA-ALI.This article reviewed the early diagnosis,targeted treatment and prognosis management of SA-ALI by artificial intelligence,providing a multidimensional solution for SA-ALI and promoting the innovation of clinical diagnosis and treatment towards precision.

【基金】 内蒙古自治区自然科学基金项目(2023MS08019,2018LH08002,2023LHMS08052);内蒙古医学科学院公立医院科研联合基金科技项目(2023GLLH0012,2023GLLH0038);内蒙古自治区人民医院博士科研启动基金(2024BS07);内蒙古自治区卫生健康科技计划项目(2025WSJK010,2025WSJK013);内蒙古医科大学联合项目(YKD2022LH015)
  • 【文献出处】 世界临床药物 ,World Clinical Drug , 编辑部邮箱 ,2025年11期
  • 【分类号】R459.7;TP18;R563.8
  • 【下载频次】13
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