Recent improvements in the Internet of Things (IoT) have allowed healthcare to evolve
rapidly. This article summarizes previous studies on IoT applications in healthcare. A …

Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

Nowadays, blockchain technology is one of the advanced technologies to ensure the
security of users' sensitive or confidential data. Blockchain technology plays a vital role in …

Artificial Intelligence (AI) is widely implemented in healthcare 4.0 for producing early and
accurate results. The early predictions of disease help doctors to make early decisions to …

In the medical image analysis, recognition of tumor in brain is very important task and it
leads cancer which should be diagnosed at early stage. It is an irregular cell population in …

In the current scenario, Cloud computing is providing services to IoT-sensor based
applications in task offloading. In time-sensitive real-time applications, latency is a major …

Today, a significant number of biomedical data is generated continuously from various
biomedical equipment and experiments due to rapid technological improvements in medical …

In many sectors, including healthcare services, Internet of Things (IoT) systems are growing
rapidly, providing promising technological, economical, and social potential. Healthcare …

Blockchain technology provides a secure and reliable platform for managing data in various
application areas, such as supply chain management, multimedia, financial sector, food …

Instead of the cloud, the Internet of things (IoT) activities are offloaded into fog computing to
boost the quality of services (QoSs) needed by many applications. However, the availability …