Artificial Intelligence for Computational Modeling of the Heart: Unlocking Personalized Cardiovascular Care

Authored by Tommaso Mansi, this comprehensive book delves into the latest research developments in leveraging artificial intelligence (AI) for computational modeling of the heart. By combining cutting-edge AI technologies with computational modeling of heart physiology, healthcare professionals can streamline and automate the estimation of a patient’s digital twin.

Multiscale Modeling of the Heart: Achieving Subject-Specific Simulations

The book provides an in-depth introduction to the major aspects of multiscale modeling of the heart, highlighting the necessary compromises to achieve subject-specific simulations. Readers will gain valuable insights into how AI technologies can:

• Unlock robust estimations of cardiac anatomy from medical images
• Develop meta-models for real-time biophysical computations
• Estimate model parameters from routine clinical data

Clinical Applications and Future Directions

The book illustrates these concepts through concrete clinical applications, demonstrating the potential of AI-powered computational modeling to revolutionize cardiovascular care. The author discusses:

• AI-based technologies for robust anatomical modeling from medical images
• Data-driven reduction of multiscale cardiac models
• Estimations of physiological parameters from clinical data

The book concludes by exploring the potential impacts and next steps needed for clinical translation, paving the way for a future where personalized cardiovascular care becomes a reality.

Published by Elsevier Science on November 25, 2019, this book is an invaluable resource for researchers, clinicians, and healthcare professionals seeking to harness the power of AI for improved cardiovascular outcomes.

Language: English
ISBN: 9780128175941, 9780128168950