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

Recent years have witnessed widespread adoption of machine learning (ML)/deep learning
(DL) techniques due to their superior performance for a variety of healthcare applications …

The underlying technology of Bitcoin is blockchain, which was initially designed for financial
value transfer only. Nonetheless, due to its decentralized architecture, fault tolerance and …

The world is resorting to the Internet of Things (IoT) for ease of control and monitoring of
smart devices. The ubiquitous use of IoT ranges from industrial control systems (ICS) to e …

A systematic and comprehensive review of security and privacy-preserving challenges in e-
health solutions indicates various privacy preserving approaches to ensure privacy and …

Fully Homomorphic Encryption (FHE) allows a third party to perform arbitrary computations
on encrypted data, learning neither the inputs nor the computation results. Hence, it provides …

Data mining (DM) and machine learning (ML) applications in medical diagnostic systems
are budding. Data privacy is essential in these systems as healthcare data are highly …

With the rapid growth of machine learning and artificial intelligence in medical cloud
systems, cloud-aided medical computing has materialized a concrete platform for rapid …

Deep Learning (DL) has already shown tremendous potential in designing intelligent clinical
support systems in biomedicine. Data privacy plays a significant role while training and …

With the promotion of online medical pre-diagnosis system, more and more research has
begun to pay attention to the issue of privacy, and existing privacy-preserving schemes are …