Introduction: Non-invasive imaging plays a critical role in managing patients with
cardiovascular disease. Although subjective visual interpretation remains the clinical …

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

Noninvasive cardiac imaging is widely used for the diagnosis and management of cardiac
patients. The increasing demand for cardiac imaging begins to exceed the number of …

The use of machine learning (ML) approaches to target clinical problems is called to
revolutionize clinical decision-making in cardiology. The success of these tools is dependent …

Artificial intelligence (AI) is spreading to every aspect of cardiac imaging, including study
indication, protocol selection, image acquisition and reconstruction, data post-processing …

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

Automation, machine learning, and artificial intelligence (AI) are changing the landscape of
echocardiography providing complimentary tools to physicians to enhance patient care …

The arrival of artificial intelligence (AI) in cardiovascular medicine has introduced many new
words and concepts to our dictionary. AI is already being used as part of medical software to …

Recent progress in digital health data recording, advances in computing power, and
methodological approaches that extract information from data as artificial intelligence are …

Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD).
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …