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Artificial Intelligence for Computational Modeling of the Heart

Artificial Intelligence for Computational Modeling of the Heart

Hot Research Book in Artificial Intelligence for Computational Modeling of the Heart

Author(s) Name:  Tommaso Mansi, Tiziano Passerini, Dorin Comaniciu

About the Book:

   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.

Table of Contents

  • Introduction
  • Multi-scale Models of the Heart for Individualized Simulations
  • Learning Cardiac Anatomy: from Images to Heart Avatar
  • Data-Driven Reduction of Cardiac Models
  • Machine Learning Methods for Robust Parameter Estimation
  • Clinical Applications
  • Conclusion and Perspective

    • ISBN:  9780128168950

    Publisher:  Elsevier

    Year of Publication:  2019

    Book Link:  Home Page Url