Edge computing in healthcare is a promising technology that processes data closer to its source, reducing latency and bandwidth usage compared to traditional cloud computing. This paper explores the current state of edge AI in healthcare using the PRISMA methodology, analyzing over 70 Web of Science articles. The study identifies three main research directions: privacy and security, AI-based optimization methods, and edge offloading techniques. The findings highlight the advantages of integrating edge computing in healthcare use cases requiring data privacy, security, and real-time decision-making. However, challenges such as data privacy, AI optimization, and computational offloading remain. The paper also discusses the potential of edge computing to transform future healthcare services and eHealth applications. It emphasizes the need for further research to develop new security-preserving methods and to better orchestrate and coordinate load in distributed and decentralized scenarios. The study concludes that edge computing has significant potential in healthcare, but more research is needed to address existing challenges and improve its adoption.Edge computing in healthcare is a promising technology that processes data closer to its source, reducing latency and bandwidth usage compared to traditional cloud computing. This paper explores the current state of edge AI in healthcare using the PRISMA methodology, analyzing over 70 Web of Science articles. The study identifies three main research directions: privacy and security, AI-based optimization methods, and edge offloading techniques. The findings highlight the advantages of integrating edge computing in healthcare use cases requiring data privacy, security, and real-time decision-making. However, challenges such as data privacy, AI optimization, and computational offloading remain. The paper also discusses the potential of edge computing to transform future healthcare services and eHealth applications. It emphasizes the need for further research to develop new security-preserving methods and to better orchestrate and coordinate load in distributed and decentralized scenarios. The study concludes that edge computing has significant potential in healthcare, but more research is needed to address existing challenges and improve its adoption.