Preeti Bhatt, USSV Meher
Journal of Nursing. 2026 October; 6(2): 7–14. Published online 2026 October
Abstract: Extreme conditions characterized by high casualty rates, time-sensitive decision-making, resource scarcity, and unpredictable operational environments define battlefield healthcare. Military nurses are central to making frontline care in the context of such limitations and need to possess high-level clinical skills, psychological stability, and immediate situational evaluation. Although traditional training models are basic, they do not necessarily recreate the dynamics and pressure of realistic battle situations. The most recent developments in artificial intelligence have made a major impact on the medical and military training process because of facilitating data-based, immersive and adaptive learning spaces. The AI-based training models bring in smart simulations, virtual decision-support, and customized learning journeys that improve experiential learning as compared to the traditional classroom and drill-based learning. The technologies enable the trainees to be exposed to realistic battlefield conditions, to obtain real-time feedback and training on essential skills such as triage, trauma care and clinical judgment during stress. This work is aimed at analytically studying the opportunities of the implementation of the training models with the application of artificial intelligence in the field of military nursing education. The article employs a doctrinal and analytical approach to examine AI applications in the form of simulations, decision-support tools, and adaptive learning systems that may be applied to enhance battlefield care preparedness through secondary source analysis. The discussion is based on such main themes as intelligent simulation platforms, AI-based clinical decision training, and competency-based learning models that are tailored to the individual. The paper emphasizes the fact that AI-based training can be used to ensure the increased military nursing readiness by enhancing the clinical accuracy, speed, and confidence in a high-risk military setting. It also highlights the need to balance the use of technology with human skills towards efficient, ethical, as well as resilient battlefield healthcare provision.
Keywords : Artificial Intelligence, Battlefield Care, Clinical Decision Support, Military Nursing Education, Simulation Training.