Towards a consensus roadmap for the use of AI in the Armed Forces charity sector

The Exploring the Role of AI in the Armed Forces – Seeking Priority Consensus in the Community event held in October 2024 set out to develop a consensus roadmap for the use of AI …

Assessment of PTSD in military personnel via machine learning based on physiological habituation in a virtual immersive environment

Abstract: Posttraumatic stress disorder (PTSD) is a complex mental health condition triggered by exposure to traumatic events that leads to physical health problems and …

Lethal autonomous weapon systems and the potential of moral injury

Abstract: In the history of human war, technology has been developed and deployed to increasingly distance combatants from the enemy. In today’s modern warfare, the development …

Future of Service member monitoring: The intersection of biology, wearables and artificial intelligence

Abstract: While substantial investment has been made in the early identification of mental and behavioural health disorders in service members, rates of depression, substance abuse …

Artificial intelligence approaches for phenotyping heart failure in U.S. Veterans Health Administration electronic health record

Abstract: Aims: Heart failure (HF) is a clinical syndrome with no definitive diagnostic tests. HF registries are often based on manual reviews of medical records of hospitalized HF …

Incorporation of quantitative imaging data using artificial intelligence improves risk prediction in Veterans with liver disease

Abstract: BACKGROUND AND AIMS: Utilization of electronic health records data to derive predictive indexes such as the electronic Child Turcotte Pugh Score can have significant …

Novel Approaches to Point of Injury Case Utilising Robotic and Autonomous Systems

Abstract: Army has developed a robotic and autonomous system (RAS) strategy (2018); however, health has yet to feature in this domain Artificial intelligence can be used to augment …