Abstract Machine learning (ML) is a form of artificial intelligence which is placed to transform
the twenty-first century. Rapid, recent progress in its underlying architecture and algorithms …

… Before we discuss artificial intelligence (AI), it is necessary to define the term. We can begin
… by intelligence. One idea put forward by Simmons and Chappell states that intelligence is an …

… , artificial intelligence (AI) is the most discussed topic today in medical imaging research, …
Radiomics, the extraction of a large number of image features from radiation images with a high-…

… , artificial intelligence (AI) promises to make great strides in the qualitative interpretation of
cancer imaging … AI may automate processes in the initial interpretation of images and shift the …

… Rapid technological advancements in artificial intelligence (AI) methods have fueled … This
article focuses on the role of radiologists in imaging AI and suggests specific ways they can be …

… , artificial intelligence (AI) has recently obtained significant breakthroughs, enabling computer
programs to outperform human interpretation of medical images in … for clinical imaging in …

This article reviews current limitations and future opportunities for the application of
computer-aided detection (CAD) systems and artificial intelligence in breast imaging. Traditional …

… imaging … artificial intelligence (AI) on the radiography profession by assessing current
workflow and cross-mapping potential areas of AI automation such as procedure planning, image …

… In large academic practices, approximately 40% of all inpatient imaging examinations are …
the imaging findings. Many methods have been previously created to classify critical imaging …

… Artificial intelligence is a hot topic in medical imaging. The development of … machine learning
techniques. Multiple usages are currently being evaluated, especially for thoracic imaging, …