Key result
Computational cardiology integrates imaging, computational modeling, and informatics to enhance the mechanistic understanding, diagnosis, and treatment of cardiovascular disease.
This paper provides a perspective on the emerging field of computational cardiology, highlighting how imaging, modeling, and informatics can advance translational cardiovascular science.
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Proposes new computational strategies in cardiology; leaves open clinical translation pending validation studies.
Computational cardiology is the scientific field devoted to the development of methodologies that enhance our mechanistic understanding, diagnosis and treatment of cardiovascular disease. In this regard, the field embraces the extraordinary pace of discovery in imaging, computational modeling, and cardiovascular informatics at the intersection of atherogenesis and vascular biology. This paper highlights existing methods, practices, and computational models and proposes new strategies to support a multidisciplinary effort in this space. We focus on the means by that to leverage and coalesce these multiple disciplines to advance translational science and computational cardiology. Analyzing the scientific trends and understanding the current needs we present our perspective for the future of cardiovascular treatment.
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Athanasiou et al. (2018) conducted a review in Cardiovascular disease. Computational cardiology integrates imaging, computational modeling, and informatics to enhance the mechanistic understanding, diagnosis, and treatment of cardiovascular disease.
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