A comprehensive survey of smart city technologies for monitoring and controlling the epidemic spread of COVID-19

Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis

“…During the COVID-19 pandemic, the application of AI in medical imaging and diagnosis saw significant innovation and deployment, as detailed in the works of Aouad et al [104] and Kuang et al [105]. The rapid spread of the virus and the urgent need for efficient diagnostic protocols meant that traditional methods needed to be augmented with smarter, faster technology.…”

“…The rapid spread of the virus and the urgent need for efficient diagnostic protocols meant that traditional methods needed to be augmented with smarter, faster technology. Aouad et al [104] discuss the integration of smart city technologies to monitor and control the epidemic spread, harnessing the power of the Internet of Things (IoT) to quickly diagnose COVID-19, thereby reducing human-to-human interaction, and enhancing response times to contain outbreaks. Kuang et al [105] highlight the potential of AI-driven segmentation methods, particularly for acute ischemic stroke lesions on non-contrast CT scans, which may have parallels in imaging techniques for viral infections, showing how AI helped to address the challenges of low contrast and artifacts common in rapid, high-volume testing environments.…”