Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …

In machine learning, deep learning is the most popular topic having a wide range of
applications such as computer vision, natural language processing, speech recognition …

The pandemic has shown us that it is quite important to keep track record our health digitally.
And at the same time, it also showed us the great potential of Instruments like wearable …

Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

Purpose Artificial Intelligence (AI) has surpassed expectations in opening up different
possibilities for machines from different walks of life. Cloud service providers are pushing …

Internet of Medical Things (IoMT) envisions the interconnection of healthcare devices and
sensors to enable a new class of applications relying on medical data processing and …

In the past few years, big data has flattering more dominant in healthcare, due to three major
reasons, such as the huge amount of data available, expanding healthcare costs, and a …

Smart healthcare network is an innovative process of synergizing the benefits of sensors,
Internet of things (IoT), and big data analytics to deliver improved patient care while reducing …

The Internet of Things (IoT) is an innovative technology with billions of sensors in various IoT
applications. Important elements used in the IoT are sensors that collect data for desired …

The Corona virus outbreak sped up the process of digitalizing healthcare. The ubiquity of IoT
devices in healthcare has thrust the Healthcare Internet of Things (HIoT) to the forefront as a …