Artificial intelligence (AI) and deep learning have been met with great interest by both the
medical and nonmedical community [1, 2]. Within medicine, deep learning has …

Examining how artificial intelligence might be used in diagnostic imaging, this study
explores its significant healthcare ramifications. The chapter highlights the crucial role that AI …

The rapid development of artificial intelligence (AI) has led to its widespread use in multiple
industries, including healthcare. AI has the potential to be a transformative technology that …

The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …

As the optimism about artificial intelligence (AI) thaws and expectations from AI are being
recalibrated, even its most ardent devotees acknowledge that AI performing the work of …

Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An
understanding of the principles and application of radiomics, artificial neural networks …

EVOLUTION of technology, global availability of massive volumes of data, and progress in
evidence-based clinical care have contributed to the rise of artificial intelligence (AI) in …

Objectives This paper will outline the status and basic principles of artificial intelligence (AI)
in radiography along with some thoughts and suggestions on what the future might hold …

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 …

Introduction This review evaluates the role of Artificial Intelligence (AI) in transforming
diagnostic imaging in healthcare. AI has the potential to enhance accuracy and efficiency of …