COMputer Battlefield Assistance in Trauma care and Injury Decision-support (COMBAT-AID)

The COMBAT-AID Project. The US Department of Defense has awarded QMUL $1.2 million to improve the medical care of injured soldiers using new Artificial Intelligence (AI) tools designed for the battlefield and the hospital. The project aims to develop and validate a suite of accurate prediction models and Clinical Decision Support (CDS) tools that clinicians can use to treat wounded soldiers on the battlefield, travelling to hospital and in hospital. The project is led by Colonel Nigel Tai, consultant trauma and vascular surgeon at Barts Health NHS Trust and UK Defence Medical Service and builds on a long running collaboration between the Centre for Trauma Science and the Risk and Information Management research group in the School of Electronic Engineering and Computer Science (EECS), where the work is led by Dr William Marsh.
  • Trauma Modelling The COMBAT_AID project builds on a successful collaboration between C4TS and RIM to create practical decision support tools, using Bayesian networks. Themes of the work have included combining knowledge and data, representing knowledge and providing explanations of interference. Demonstration models and relevant papers are online.
  • Risk and Information Research Group The RIM group focuses on problems of decision-support under uncertainty, using probabilistic modelling including Bayesian networks. Much of the group's work involves inter-disciplinary collaborations in a wide range of application domains, often demanding a combination of knowledge modelling and learning from data (ML).
  • Centre for Trauma Science C4TS is a world-leading Centre of excellence for translational research at Barts and the London School of Medicine & Dentistry (SMD), Queen Mary University of London. The centre focuses on the immediate post-injury phase, with research into the pathophysiology of injury and a pathway to ensure the translation of research into practice and into policy. The COMBAT-AID project will be supported by two clinical research fellows.