Recent advances in communication technologies and the Internet-of-Medical-Things (IOMT)
have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI …

Continuously generated volumes of health data make healthcare a data-intensive domain.
This data needs to be collected, stored, and shared among different healthcare actors for …

Cloud computing is a promising technology that is expected to transform the healthcare
industry. Cloud computing has many benefits like flexibility, cost and energy savings …

Recent advancements in computing systems and wireless communications have made
healthcare systems more efficient than before. Modern healthcare devices can monitor and …

Background: A large number of mobile health (mHealth) apps have been created to help
users to manage their health or receive health care services. Many of these mHealth apps …

The progressive advances in the fifth-generation standard for cellular networks have led to
innovations in the artificial intelligence of things, which have changed the layout of the …

Background Chronic disease patients often face multiple challenges from difficult
comorbidities. Smartphone health technology can be used to help them manage their …

Background: Mobile health (mHealth) apps aim at providing seamless access to tailored
health information technology and have the potential to alleviate global health burdens. Yet …

Balancing security, privacy, safety, and utility is a necessity in the health care domain, in
which implantable medical devices (IMDs) and body area networks (BANs) have made it …

For distributed machine learning with sensitive data, we demonstrate how minimizing
distance correlation between raw data and intermediary representations reduces leakage of …