Progression of Digital Healthcare With Deep Learning and Blockchain Methods for Smart Cities

Abstract

Healthcare is a fundamental feature of smart cities. Artificial intelligence-based systems usage during COVID-19 pandemic like virtual doctors, online consultations, telemedicine has enhanced the capability of reaching the treatment to patients on time, with high efficiency in smart cities. Governments have implemented patient monitoring and disease control systems during the COVID pandemic to reduce the spread of infection. The dynamics of healthcare provisions are changed exceptionally with the advent of deep learning and blockchain methods. Advanced levels of image diagnosis, centralized EHRs, emergency care, and intelligence-based recommendation systems are enhanced using deep learning and blockchain technologies. Integration of IoT devices with smartphones has enabled us to receive alerts to monitor the elderly or needy people with chronic conditions. The adaptation of AI in clinical diagnosis and predictive care systems is remarkable. High precision robotic systems based on AI technology are used in delicate and complicated surgeries in many city hospitals across the globe.