Artificial intelligence (AI) has seen dramatic growth over the past decade, evolving from a
niche super specialty computer application into a powerful tool which has revolutionized …

Please see the Editorial Comment by Sadia Khanani discussing this article. Artificial
intelligence (AI) applications for screening mammography are being marketed for clinical …

Objective The objective was to identify barriers and facilitators to the implementation of
artificial intelligence (AI) applications in clinical radiology in The Netherlands. Materials and …

Purpose To report the results of a nationwide online survey on artificial intelligence (AI)
among radiologist members of the Italian Society of Medical and Interventional Radiology …

Different theories, models and frameworks have been used to study technology adoption,
some explaining the determinants of adoption at the individual level, some at the …

The multitude of artificial intelligence (AI)–based solutions, vendors, and platforms poses a
challenging proposition to an already complex clinical radiology practice. Apart from …

Artificial intelligence (AI) is a path-breaking advancement for many industries, including the
health care sector. The expeditious development of information technology and data …

Background: With growth in Artificial Intelligence (AI) adoption, challenges and hurdles are
also becoming evident. Organizations implementing AI are challenged to find ways to …

Purpose Accurate clinical diagnosis of lymph node metastases is of paramount importance
in the treatment of patients with abdominopelvic malignancy. This review assesses the …

Immune checkpoint inhibitors targeting programmed cell death 1 (PD-1) and programmed
cell death ligand 1 (PD-L1) have rapidly become integral to standard-of-care therapy for non …