Division of Anaesthesia and Intensive Care, University of Nottingham and Nottingham University Hospitals NHS Trust, Nottingham, UK.
Philos Trans R Soc Lond B Biol Sci. 2011 Jan 27;366(1562):300-5. doi: 10.1098/rstb.2010.0250.
State-of-the-art medical care of the victims of current conflicts is generating large quantities of quality clinical data as a by-product. Observational research based on these data is beginning to have a profound influence on the clinical management of both military and civilian trauma patients. Computational modelling based on these datasets may offer the ability to investigate clinical treatment strategies that are practically, ethically or scientifically impossible to investigate on the front line. This article reviews the potential of this novel technology to aid development of treatment for blast lung and other unresolved medical scenarios.
目前的冲突中，先进的医疗手段在救治受害者的同时，也产生了大量高质量的临床数据。基于这些数据的观察性研究开始对军事和民用创伤患者的临床管理产生深远影响。基于这些数据集的计算建模可能提供一种能力，以研究在前线实际、伦理或科学上不可能进行的临床治疗策略。本文回顾了这项新技术在辅助治疗爆震肺等未解决的医疗情况方面的潜力。
