摘要
现代创伤评分力图以数字化方式客观、准确、快捷反映及评价各种损伤严重程度和创伤结局,以便制订正确的诊疗方案。现有的创伤评分主要针对死亡结局进行预判,不能动态反映创伤康复功能结局变化,难以满足临床需要。近年来人工智能技术、大数据挖掘技术有助于整合和利用创伤救治过程中产生的海量临床数据,对创伤全流程连续性评估具有重大的应用价值。因此,笔者就生理学评分、解剖学评分、生理学和解剖学复合评分、功能学评分及人工智能在创伤评估中的应用研究进展进行综述,为创伤评分新系统的构建提供参考。
Modern trauma scoring system tries hard to reflect and evaluate various injury severity and outcome in an objective,accurate and quick manner via digitalization so as to make correct diagnosis and treatment plan.However,current trauma scoring is mainly responsible for predicting death outcome,and it cannot reflect the changes of trauma rehabilitation function outcome in a dynamic way,thus making it difficult to meet clinical demands.In recent years,artificial intelligence technology and big data mining technology are helpful to integrate and analyze a large number of clinical data generated in the process of trauma treatment,and have a great application value for the continuous assessment of the whole trauma process.Such being the case,the authors sum up the research progress of physiology scoring,anatomy scoring,composite scoring of physiology and anatomy,functional scoring and artificial intelligence in trauma evaluation,attempting to provide references for building a new trauma scoring system.
作者
杨佛强
吴晓敏
潘晓华
Yang Foqiang;Wu Xiaomin;Pan Xiaohua(Shenzhen Baoan Clinical Medical College of Guangdong Medical University,Shenzhen 518101,China;Department of Orthopedics and Traumatology,Second Affiliated Hospital of Shenzhen University,Shenzhen 518101,China)
出处
《中华创伤杂志》
CAS
CSCD
北大核心
2021年第9期855-861,共7页
Chinese Journal of Trauma
基金
深圳市三名工程(SZSM201506020)
深圳市科创委课题项目(KJYY20170413095738765)。
关键词
损伤严重度评分
人工智能
临床决策支持系统
Injury severity score
Artificial intelligence
Decision support systems,clinical
作者简介
通信作者:潘晓华,Email:szpxh4141@foxmail.com,电话:0755-27788311。
