登岛作战现场救治及快速转运流程的人工智能设计研究  

On-site rescue and research on artifical intelligence design of rapid casualty transfer flow in island landing operations

作　　者：蒋亚波 孟尧 游晓华 何天霖 Jiang Yabo;Meng Yao;You Xiaohua;He Tianlin(Third Affiliated Hospital,Naval Medical University,Shanghai 200433,China)

机构地区：[1]海军军医大学第三附属医院,上海200433 [2]海军军医大学第一附属医院普外科 [3]海军军医大学第一附属医院心内科

出　　处：《海军医学杂志》2021年第3期268-270,共3页Journal of Navy Medicine

基　　金：中国人民解放军海军军医大学第一附属医院深蓝123重点攻关课题(2020YSL006);海军院校MOOC资源建设项目(2019018);上海市医苑新星杰出青年医学人才计划(2018020)。

摘　　要：该文分析了在未来登岛作战中卫勤保障可能面临的主要问题以及目前现场救治、伤员后送存在的突出问题。根据前期相关研究,笔者提出运用依托于云计算与大数据的人工智能现场评估和智能快速转运设备,以期在未来登岛作战中能快速、有效地为作战伤员救治提供最佳选择,并进一步提高战场救护水平。This paper analyzed the main problems encountered in the medical support of future island landing operations,as well as outstanding problems existing in on-site casualty treatment and evacuation at current time.Based on previous related studies,we proposed to use artifical intelligence field assessment and intelligent rapid transfer equipment by using cloud computing and big data,so that we might be able to provide best choices for quick and effective treatment of combat casualties in future island landing operations,and further improve the level of combat medical care.

关 键 词：登岛作战 现场急救 人工智能装备 

分 类 号：R82[医药卫生—临床医学]