Artificial Intelligence for Computational Modeling of the Heart (ePub)
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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.
- Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications
- Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data
- Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation
- 2019, 274 Seiten, Englisch
- Herausgegeben: Tommaso Mansi, Tiziano Passerini, Dorin Comaniciu
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128168951
- ISBN-13: 9780128168950
- Erscheinungsdatum: 25.11.2019
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Grösse: 24 MB
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