Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic
and therapeutic practices, allowing healthcare providers to overcome significant challenges …

Artificial intelligence, which has been actively applied in a broad range of industries in
recent years, is an active area of interest for many researchers. Dentistry is no exception to …

Background Data security has been a critical topic of research and discussion since the
onset of data sharing in e-health systems. Although digitalization of data has increased …

Generative adversarial networks (GANs) have gained significant attention in the field of
image synthesis, particularly in computer vision. GANs consist of a generative model and a …

Purpose The growing application of deep learning in radiology has raised concerns about
cybersecurity, particularly in relation to adversarial attacks. This study aims to systematically …

In tele-medicine, images based on patient diagnostic tests and reports are usually required
to broadcast securely so that recipient can receive them without any error. For the secure …

This article provides an overview on the literature published on the topic of cybersecurity for
PACS (Picture Archiving and Communications Systems) and medical imaging. From a …

Cybersecurity issues have been on the rise for years, increasingly affecting the healthcare
sector. In 2019, several attacks have been published that specifically aim at medical network …

Artificial intelligence (AI)-based solutions are increasingly being incorporated into radiology
workflows. Implementation of AI comes along with cybersecurity risks and challenges that …

Background Digitalization and artificial intelligence have an important impact on the way
microbiology laboratories will work in the near future. Opportunities and challenges lie …