New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Smart Cities

Revolution in healthcare can be experienced with the advancement of smart sensorial things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), edge analytics with the integration of cloud computing; and connected healthcare is receiving extraordinary contemplation from the industry, government, and the healthcare communities. In this study, several studies are selected published in the last 6 years from 2016 to 2021 The selection process is represented through the Prisma flow chart. It has been identified that these increasing challenges of healthcare can be overcome by the implication of AI, ML, DL, Edge AI, IoT, 6G, and cloud computing. Still, limited areas have implicated these latest advancements and also experienced improvements in the outcomes. These implications have shown successful results not only in resolving the issues from the perspective of the patient but also from the perspective a of healthcare professionals. It has been recommended that the different models which have been proposed in several studies must be validated further and implicated in different domains to validate the effectiveness of these models and to ensure that these models can be implicated in several regions effectively.