Artificial Intelligence for Computational Modeling of the Heart
Author | : Tommaso Mansi |
Publisher | : Academic Press |
Total Pages | : 276 |
Release | : 2019-11-25 |
ISBN-10 | : 9780128168950 |
ISBN-13 | : 0128168951 |
Rating | : 4/5 (951 Downloads) |
Download or read book Artificial Intelligence for Computational Modeling of the Heart written by Tommaso Mansi and published by Academic Press. This book was released on 2019-11-25 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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