There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …

Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …

The current industrial scenario has witnessed the application of several artificial intelligence-
based technologies for mining and processing IoMT-based big data. An emerging …

Federated Learning is a growing branch of Artificial Intelligence with the wide usage of
mobile computing and IoT technologies. Since this technology uses distributed computing …

Healthcare data are characterized by explosive growth and value, which is the private data
of patients, and its characteristics and storage environment have brought significant issues …

Coronary artery disease (CAD) is a condition in which the heart is not fed sufficiently as a
result of the accumulation of fatty matter. As reported by the World Health Organization …

Electronic healthcare (e-healthcare) system has brought great convenience for people to
seek medical treatment. However, data security, user privacy and online diagnosis efficiency …

Data-driven fault detection of wind turbines has gained increasingly attention. Currently,
most existing methods require sufficient labeled data to train a reliable model in a …

Digital technologies present unrivaled opportunities to improve healthcare services
worldwide. Medical devices and hospitals are now using innovative techniques to diagnose …

In this paper, we present a novel paradigm for disease detection. We build an artificial
intelligence based system where various biomedical data are retrieved from distributed and …