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

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

Cardiovascular diseases remain the leading cause of global mortality, underscoring the
critical need for accurate and timely diagnosis. This narrative review examines the current …

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 …

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 …

Nowhere is the influence of artificial intelligence (AI) likely to be more profoundly felt than in
health care, from patient triage and diagnosis to surgery and follow-up. Over the medium …

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

Data science is likely to lead to major changes in cardiovascular imaging. Problems with
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …

The tremendous advances in digital information and communication technology have
entered everything from our daily lives to the most intricate aspects of medical and surgical …

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