The field of artificial intelligence (AI) is currently experiencing a period of extensive growth in
a wide variety of fields, medicine not being the exception. The base of AI is mathematics and …

Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its
implementation will be focused on the automatization tasks, improving diagnostic accuracy …

In this review article, the current and future impact of artificial intelligence (AI) technologies
on diagnostic imaging is discussed, with a focus on cardio-thoracic applications. The …

Introduction Artificial intelligence (AI) describes the use of computational techniques to
mimic human intelligence. In healthcare, this typically involves large medical datasets being …

Recently, interest and advances in artificial intelligence (AI) including deep learning for
medical images have surged. As imaging plays a major role in the assessment of pulmonary …

Artificial intelligence (AI) using machine learning techniques will change healthcare as we
know it. While healthcare AI applications are currently trailing behind popular AI …

Advances in machine learning in medical imaging are occurring at a rapid pace in research
laboratories both at academic institutions and in industry. Important artificial intelligence (AI) …

Artificial intelligence algorithms can learn by assimilating information from large datasets in
order to decipher complex associations, identify previously undiscovered pathophysiological …

Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern
application of AI encompasses intelligent models and algorithms for automated data …

Artificial intelligence (AI) promises to revolutionize many fields, but its clinical
implementation in cardiovascular imaging is still rare despite increasing research. We …