Convergence Between IoT and AI for Smart Health and Predictive Medicine

In the last years, the Internet of Things (IoT) has pilot the vision of a smarter world into reality with a massive amount of data and numerous services. The development of smart sensorial media and devices is getting remarkable attention from academia, government, industry, and healthcare communities. IoT-powered systems produce valuable sources of information and can transform healthcare. With the increase of healthcare services in non-clinical environments, which use vital signs provided by sensors and devices connected to patients, the need to mine and process the physiological measurements is growing significantly. The utilization of IoT to support healthcare is possible thanks to the artificial intelligence (AI). AI techniques, like natural language processing, data analytics, machine learning, and its sub-category deep learning, offer immense opportunities including disease diagnosis and monitoring, clinical workflow augmentation, and hospital optimization. The synergy between the IoT and AI is promising to monitor state of health of patients and to move upon traditional healthcare structures. Accompanied by communication technologies, cloud computing, and big data, it led to the emergence of the Smart Health concept. The chapter exhibits a literature review conducted to determine the most important technologies, methodologies, algorithms, and models for smart health systems. In addition, the main benefits and challenges of smart health were explored.