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Artificial intelligence (AI) has emerged as a transformative force in cardiovascular radiology, revolutionizing the way imaging data is acquired, analyzed, and interpreted. This narrative review provides a comprehensive overview of the applications of AI in cardiovascular radiology, focusing on its impact on computed tomography (CT), magnetic resonance imaging (MRI), and echocardiography. The article discusses the methodology employed in the review, presents the results of the literature analysis, and offers insights into the challenges and future directions of AI in cardiovascular radiology. By harnessing the power of AI, cardiovascular radiology can achieve unprecedented levels of efficiency, accuracy, and personalized patient care, ultimately improving diagnostic outcomes and patient management.
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Martins et al. (2024) studied this question.
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