Area of Interest (AOI): 2. Health and Human Performance
Innovation: REACT-X introduces a predictive eXplainable Artificial Intelligence (XAI) platform that can change the future of battlefield medical triage, en route care, and medical logistics. By integrating multimodal datasets (physiologic signals, injury data, supply utilization records and other metadata), REACT-X provides a framework for identifying critical features to enable medics in resource-constrained, contested environments to triage casualty patients. The innovation lies in information extracted from multimodal datasets that provides XAI-enabled risk assessment, allowing frontline providers to optimize scarce medical supplies, identify patients at high risk of decompensation, and adjust treatment strategies. This dual-use approach leverages XAI and modular architectures, ensuring transparency, adaptability, and compatibility with existing government and commercial platforms.
Objective: The objective of REACT-X is to deliver a decision-support tool that uses deep topological modeling to identify critical features that would enhance medical triage, identify patients requiring urgent life-saving interventions, and inform medical logistics needs. Specifically, REACT-X aims to help medics determine when to evacuate patients, how to allocate limited resources, and when to request timely resupply across distributed battlespaces. The project also seeks to provide providers at various levels of expertise with role-tailored recommendations, enabling more informed, faster, and more effective medical decisions that ultimately increase survival rates in prolonged casualty care scenarios.
Background: Modern military operations occur in complex, geographically dispersed environments where medical demand often outstrips available resources. Current practices lack the ability to dynamically track medical supply consumption, anticipate depletion, or align medical logistics to casualty flows. As a result, medics face significant challenges in managing limited resources under pressure. REACT-X was conceived to bridge this gap by combining predictive AI with existing and emerging battlefield technologies. By modeling injury severity, resource utilization, and patient trajectories, REACT-X empowers medics to sustain life-saving care while informing logistics teams of urgent supply needs. This work advances the DoD’s mission to improve survivability and readiness in contested, resource-limited environments, while also offering dual-use applications for civilian emergency response and medical care.
