349,64 €
388,49 €
-10% with code: EXTRA
Artificial Intelligence for Computational Modeling of the Heart
Artificial Intelligence for Computational Modeling of the Heart
349,64
388,49 €
  • We will send in 10–14 business days.
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 estimati…
  • Publisher:
  • ISBN-10: 012817594X
  • ISBN-13: 9780128175941
  • Format: 19.1 x 23.5 x 1.5 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Artificial Intelligence for Computational Modeling of the Heart (e-book) (used book) | bookbook.eu

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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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  • Publisher:
  • ISBN-10: 012817594X
  • ISBN-13: 9780128175941
  • Format: 19.1 x 23.5 x 1.5 cm, softcover
  • Language: English English

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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