Advancements in Artificial Intelligence Applications for Cardiovascular Disease Research
Journal:
arXiv
Published Date:
Jun 4, 2025
Abstract
Recent advancements in artificial intelligence (AI) have revolutionized
cardiovascular medicine, particularly through integration with computed
tomography (CT), magnetic resonance imaging (MRI), electrocardiography (ECG)
and ultrasound (US). Deep learning architectures, including convolutional
neural networks and generative adversarial networks, enable automated analysis
of medical imaging and physiological signals, surpassing human capabilities in
diagnostic accuracy and workflow efficiency. However, critical challenges
persist, including the inability to validate input data accuracy, which may
propagate diagnostic errors. This review highlights AI's transformative
potential in precision diagnostics while underscoring the need for robust
validation protocols to ensure clinical reliability. Future directions
emphasize hybrid models integrating multimodal data and adaptive algorithms to
refine personalized cardiovascular care.
