The rapidly evolving scenario of Artificial intelligence (AI) in medicine comes with new
regulatory challenges, including certification, ownership, and control of data sharing, privacy …

Medicine is a discipline based on and nurtured by scientific research and technological
development. The use of health services supported by information technology is increasing …

Artificial Intelligence (AI) has become commonplace to solve routine everyday tasks.
Because of the exponential growth in medical imaging data volume and complexity, the …

Machine vision is an important branch of the rapid development of modern artificial
intelligence, and it is a key technology to convert the image information of monitoring targets …

This study investigates the transformative impact of AI-based Decision Support Systems
(DSS) and Big Data Analytics (BDA) on student innovation and employability skills in an era …

Privacy and security are the most essential barriers preventing widespread public cloud
adaptation. The data that is distributed within the cloud requires privacy protection which can …

In recent years, the convergence of artificial intelligence (AI) and machine learning (ML) with
cloud computing has sparked a revolution in the way businesses process, analyze, and …

The storage as well as access of health-related imaging have been revolutionized by cloud-
based systems. Algorithms for effective compression of information are essential for …

INFN has been running a distributed infrastructure (the Tier-1 at Bologna-CNAF and 9 Tier-2
centres) for more than 20 years which currently offers about 150000 CPU cores and 120 PB …

L'idea di sviluppare strumenti per l'interpretazione automatica di immagini mediche risale a
più di mezzo secolo fa. I primi tentativi di lettura automatica di immagini radiologiche …