The field of cardiovascular imaging is undergoing a transformative shift with the integration of artificial intelligence (AI) and machine learning (ML) technologies. These advancements promise to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes in interventional cardiology. This article explores the current state of AI and ML in cardiovascular imaging, focusing on their potential applications and future directions in clinical practice.As healthcare becomes increasingly data-driven, the ability to analyze large datasets in real-time is vital for effective decision-making in interventional cardiology.
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Journal of Interventional and General Cardiology received 11 citations as per Google Scholar report
