AI and IoT Uses, Challenges and Opportunities for e-Health: a review

Population growth, specific care for the aged or people suffering from chronic illnesses and the evolution of medical pathologies are some of the major challenges facing the healthcare sector. New technologies offer a solution to these challenges, enabling the development of preventive medicine. e-Health, a fast-growing field based on new information and communication technologies, is becoming crucial today to enhance patient healthcare. With e-Health services, patients can be better monitored and informed of the risks of some behaviors or illnesses. Simultaneously, Artificial Intelligence (AI) sector is emerging rapidly, offering applications that cover a wide range of human activities and bring significant improvements in all domains and especially in healthcare. AI plays today a vital role in e-Health, thanks to machine learning and deep learning techniques. In parallel to this progress, the Internet of Things (IoT) is witnessing a remarkable growth in advancing the e-Health sector thanks to its new technologies and cutting-edge devices. Together, AI and IoT form a fundamental basis for wellness, promoting connected health and personalized medicine. This paper represents a review of various research applying machine learning, deep learning, IoT techniques as well as a combination of these approaches for e-Health.