Tracing the use of computers in the radiology department from administrative functions
through image acquisition, storage, and reporting, to early attempts at improved diagnosis …

Deep learning is a class of machine learning methods that are gaining success and
attracting interest in many domains, including computer vision, speech recognition, natural …

Artificial intelligence (AI), machine learning, and deep learning are terms now seen
frequently, all of which refer to computer algorithms that change as they are exposed to more …

Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and
growing rapidly, fueled by availability of large datasets (“big data”), substantial advances in …

Advances in both imaging and computers have synergistically led to a rapid rise in the
potential use of artificial intelligence in various radiological imaging tasks, such as risk …

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 field of diagnostic decision support in radiology is undergoing rapid transformation with
the availability of large amounts of patient data and the development of new artificial …

The application of machine learning and deep learning in the field of imaging is rapidly
growing. Although the principles of machine and deep learning are unfamiliar to the majority …

Although artificial intelligence (AI) has been a focus of medical research for decades, in the
last decade, the field of radiology has seen tremendous innovation and also public focus …

Artificial intelligence (AI) is the most revolutionizing development in the health care industry
in the current decade, with diagnostic imaging having the greatest share in such …