Radiologists are being confronted with an amalgam of technological changes that can and
will have a significant impact on their profession. Mass media are creating a real hype …

Radiology historically has been a leader of digital transformation in healthcare. The
introduction of digital imaging systems, picture archiving and communication systems …

Abstract Background and Purpose Artificial intelligence (AI) algorithms, particularly deep
learning, have made significant strides in image recognition and classification, providing …

This is a consolidated look at the applications of various deep learning techniques in the
field of radiology. For the past few years, deep learning has pervaded every field and the …

The word artificial intelligence almost invariably transcends our minds to futuristic things that
we have been accustomed to watch in science fiction movies like the Matrix trilogy. After …

There have been tremendous advances in artificial intelligence (AI) and machine learning
(ML) within the past decade, especially in the application of deep learning to various …

The whole healthcare system, from management to care providing, including scientific
production, will be impacted by Artificial Intelligent. Nowadays, uniting data availability …

AI refers to the emulation of human intelligence processes by machines, particularly
computer systems. Among these processes are learning, logical reasoning, problem …

In recent years, there has been enormous interest in applying artificial intelligence (AI) to
radiology. Although some of this interest may have been driven by exaggerated …

Convolutional neural network (CNN), a class of artificial neural networks that has become
dominant in various computer vision tasks, is attracting interest across a variety of domains …