Artificial intelligence is a hot topic in medical imaging. The development of deep learning
methods and in particular the use of convolutional neural networks (CNNs), have led to …

The last decade has seen a huge surge in interest surrounding artificial intelligence (AI). AI
has been around since the 1950s, although technological limitations in the early days meant …

The use of artificial intelligence (AI) algorithms in the field of radiology is becoming more
common. Several studies have demonstrated the potential utility of machine learning (ML) …

Artificial intelligence (AI) software in radiology is becoming increasingly prevalent and
performance is improving rapidly with new applications for given use cases being …

The medical specialty radiology has experienced a number of extremely important and
influential technical developments in the past that have affected how medical imaging is …

Radiology has witnessed the introduction of amazing new discoveries such as ultrasound,
CT, MRI, and PET. These technologies have vastly improved the care of patients across the …

The interest in artificial intelligence (AI) has ballooned within radiology in the past few years
primarily due to notable successes of deep learning. With the advances brought by deep …

Currently, the use of artificial intelligence (AI) in radiology, particularly machine learning
(ML), has become a reality in clinical practice. Since the end of the last century, several ML …

Purpose To assess the ability of convolutional neural networks (CNNs) to enable high-
performance automated binary classification of chest radiographs. Materials and Methods In …

Predictions related to the impact of AI on radiology as a profession run the gamut from AI
putting radiologists out of business to having no effect at all. The use of AI appears to show …