The dynamic force of artificial intelligence (AI) is reshaping our world, not in the distant future, but today. Its transformative potential, adaptability, and capacity to liberate human potential are becoming evident in a multitude of domains. AI's ability to process vast datasets, offer data-driven recommendations, and enhance decision-making processes underscores its pivotal role in addressing complex challenges. This article explores AI's current impact and its potential for further growth. It reviews 77 articles across diverse domains, highlighting AI's role in emergency services. Through an in-depth analysis of these studies, the paper provides a broad overview of the current state of AI in emergency services, identifying key trends, challenges, and future opportunities. By examining the methodologies, datasets, AI and deep learning techniques, feature selection processes, evaluation metrics, and prediction models used in each study, the paper aims to offer a thorough understanding of AI's role in this critical sector. This extensive body of knowledge is intended to be a valuable resource for researchers, practitioners, and policymakers. It supports the ongoing advancement of AI-driven emergency services, with the goal of saving lives, optimizing resource allocation, and enhancing response times in critical situations. Ultimately, this collaborative effort seeks to foster the development of more resilient and responsive emergency systems that can effectively mitigate risks and deliver timely aid to those in need. By advancing the capabilities of emergency response systems, AI enhances the precision and efficiency of critical interventions, ultimately leading to better outcomes and improved resilience in crisis situations.