… The Artificial Intelligence for Health Imaging (AI4HI) projects is a … Artificial Intelligence (AI)
solutions based on medical images and related clinical and molecular data, to improve clinical …

… artificial intelligence (AI) algorithms have revolutionized our daily life and are increasingly
being applied in routine clinical … efforts, automation of repetitive clinical duties to save time and …

… for artificial intelligence (AI). This article will the pros and cons of artificial intelligence in …
, “Computing Machinery and Intelligence”, which paved the way for Artificial Intelligence [1]. …

… The objective of this paper is to draw attention to key considerations for evaluating AI in
clinical decision support; and to examine challenges and practical implications of AI design, …

… In radiology, AI is about to enter into clinical practice and … artificial intelligence (AI), we are
facing a paradigm shift in our conceptualization of medical practice (1). Artificial intelligence …

… algorithms and advanced clinical decision support systems are … legal considerations associated
with artificial intelligence … Barriers to widespread adoption of artificial intelligence involve …

… In this section, we review some ethical considerations for clinicians as they deploy AIMDs
to improve patient well-being, respect patient autonomy, and promote health justice. …

… their interest in developing AI solutions for clinical care. Moreover, a diverse repertoire of …
the convergence of AI and clinical care. Thus, this work presents AI clinical applications in a …

… The advent of computer graphic processing units, improvement in mathematical models
and availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …

… role of machine learning, artificial intelligence, and clinical decision-making. The ever-increasing
applications of AI methods and tools have potential in nearly every aspect of the clinical …