Burnout syndrome (BOS) is increasingly recognized as a critical occupational phenomenon with profound effects on healthcare workers. Frontline practitioners are especially vulnerable, experiencing emotional exhaustion and depersonalization due to long working hours, continuous patient care, high mortality rates, family demands for counseling, administrative burdens, and unstable working environments. These stressors compound to heighten the risk of BOS, particularly in critical care units. In response, this paper conducts a scoping review to highlight emerging tools capable of mitigating BOS, with a focus on artificial intelligence (AI) applications. Specifically, AI offers several practical contributions: rapid data collection for designing personalized treatment plans, development of deep learning algorithms to support clinical decision-making, deployment of wearable devices and medical equipment to monitor patient conditions, and generative solutions aimed at easing administrative workloads. Collectively, these technologies can both reduce stressors and enhance job satisfaction among healthcare professionals. However, for such benefits to be realized, healthcare personnel must demonstrate openness to training and continuous learning, which are essential for the effective integration of AI tools into routine emergency medicine practice.