| Title | : | Artificial Intelligence for Computational Modeling of the Heart |
|---|---|---|
| Author | : | Tommaso Mansi, Tiziano Passerini & Dorin Comaniciu |
| Release | : | 2019-11-25 |
| Kind | : | ebook |
| Genre | : | Science & Nature, Books, Professional & Technical, Engineering |
| Size | : | 33716946 |
| 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 |
