Artificial Intelligence in Cardiovascular Diseases: Research, Technology and Clinical Practice
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 96
Special Issue Editor
Interests: atherosclerosis; artificial intelligence; atrial fibrillation; cardiovascular disease
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) into cardiovascular medicine is revolutionizing diagnostics, therapeutics, and patient care. AI methodologies, including machine learning (ML) and deep learning (DL), enable the analysis of complex, high-dimensional datasets derived from imaging, genomics, electronic health records (EHRs), and wearable devices. These innovations provide unparalleled precision in risk stratification, disease prediction, and early detection, significantly enhancing personalized care. In cardiovascular imaging, AI algorithms improve diagnostic accuracy in modalities such as echocardiography, cardiac MRI, and CT angiography by automating segmentation, feature extraction, and anomaly detection. Predictive models utilizing EHR data are instrumental in identifying patients at risk for acute events such as myocardial infarction or heart failure. Furthermore, AI-driven approaches facilitate drug discovery and optimize therapeutic interventions by integrating patient-specific biological and clinical data. Despite these advancements, challenges remain in ensuring the generalizability, interpretability, and ethical deployment of AI systems. Issues of bias, data privacy, and integration into clinical workflows must be addressed to maximize the benefits of these technologies. This Special Issue explores cutting-edge research, emerging technologies, and clinical applications of AI in cardiovascular disease, emphasizing the transformative potential and challenges of this interdisciplinary domain.
Prof. Dr. Dimitris Tousoulis
Guest Editor
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Keywords
- cardiovascular disease
- artificial intelligence
- atherosclerosis
- atrial fibrillation
- cardiomyopathy
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