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Hemopneumothorax detection through the process of artificial evolution-a feasibility study

Military Medical Research 2022年第1期9卷 12-20页

作者： adir sommer Noy MarkGavriel D.Kohlberg Rafi Gerasi Linn Wagnert Avraham Ruth Fan-Marko Arik Eisenkraft Dean Nachman The Medical Corps Israel Defense Forces(IDF)Tel Hashomer5262000 Ramat GanIsrael Department of Otolaryngology-Head and Neck Surgery University of WashingtonSeattleWA 98195USA The Institute for Research in Military Medicine the Faculty of Medicinethe Hebrew University of Jerusalem and the IDF Medical Corps9112102 JerusalemIsrael The Hebrew University School of Medicine 9112102 JerusalemIsrael Department of Medicine Hadassah Medical Center9112102 JerusalemIsrael.

Background:Tension pneumothorax is one of the leading causes of preventable death on the *** prehospital diagnosis relies on a subjective clinical impression complemented by a manual thoracic and respiratory *** techniques are not fully applicable in field conditions and on the battlefield,where situational and environmental factors may impair clinical *** aimed to assemble a device able to sample,analyze,and classify the unique acoustic signatures of pneumothorax and ***:Acoustic data was obtained with simultaneous use of two sensitive digital stethoscopes from the chest wall of an ex-vivo porcine *** second samples of acoustic data were obtained from the in-house assembled digital stethoscope system during mechanical *** thoracic cavity was injected with increasing volumes of 200,400,600,800,and 1000 ml of air or saline to simulate pneumothorax and hemothorax,*** data was analyzed using a multi-objective genetic algorithm that was used to develop an optimal mathematical detector through the process of artificial evolution,a cutting-edge approach in the artificial intelligence ***:The in-house assembled dual digital stethoscope system and developed genetic algorithm achieved an accuracy,sensitivity and specificity ranging from 64%to 100%,63%to 100%,and 63%to 100%,respectively,in classifying acoustic signal as associated with pneumothorax or hemothorax at fluid injection levels of 400 ml or more,and regardless of background ***:We present a novel,objective device for rapid diagnosis of potentially lethal thoracic *** further optimization,such a device could provide real-time detection and monitoring of pneumothorax and hemothorax in battlefield conditions.

关键词： Pneumothorax Hemothorax Trauma Battlefield Artificial evolution Machine learning

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