Artificial Intelligence for Computational Modeling of the Heart
presents recent research developments towards streamlined and
automatic estimation of the digital twin of a patient's heart by
combining computational modeling of heart physiology and artificial
intelligence. The book first introduces the major aspects of
multi-scale modeling of the heart, along with the compromises
needed to achieve subject-specific simulations. Reader will then
learn how AI technologies can unlock robust estimations of cardiac
anatomy, obtain meta-models for real-time biophysical computations,
and estimate model parameters from routine clinical data. Concepts
are all illustrated through concrete clinical applications.
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