Robotics Enabled Autonomous and Closed Loop Trauma Care in a Rucksack

摘要

Artificial intelligence (AI) plays a critical role across all military programs of the department of defense (DoD) and is a key strategy to maintain technical superiority to peer and near-peer adversaries. Similar to the civilian sector, the role of AI in healthcare is also being actively pursued by the DoD and is incorporated in the Medical Robotics and Autonomous Systems programs. This article describes a recently funded DoD program at the University of Pittsburgh that aims to develop a prehospital robotically controlled autonomous cardiopulmonary resuscitation platform that is small and portable and planned for battlefield delivery to casualties through either manned or unmanned air or ground vehicles. The research program is called TRAuma Care In a Rucksack (TRACIR) and its goals are to develop critical care decision support algorithms based on a large prehospital data set of medical casualty trauma evacuations in Pittsburgh overlaid with AI/machine learning using functional hemodynamic monitoring principles that will robotically drive critical care interventions. The TRACIR program and its research aims are described.