Unlocking the Potential of Artificial Intelligence in Computational Modeling of the Heart

Recent research has paved the way for streamlined and automatic estimation of the digital twin of a patient’s heart, combining computational modeling of heart physiology and artificial intelligence. In this groundbreaking book, “Artificial Intelligence for Computational Modeling of the Heart”, author Tommaso Mansi presents the latest advancements in this field.

Multi-Scale Modeling of the Heart: Achieving Subject-Specific Simulations

The book starts by introducing the major aspects of multi-scale modeling of the heart, highlighting the necessary compromises to achieve subject-specific simulations. This comprehensive overview sets the stage for understanding the role of AI in revolutionizing heart modeling.

AI-Driven Breakthroughs in Cardiac Modeling

Readers will discover 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. These cutting-edge techniques have the potential to transform the field of cardiology.

Clinical Applications and Future Directions

The book brings these concepts to life through concrete clinical applications, demonstrating the potential of AI-driven heart modeling to improve patient outcomes. The author also discusses the potential impacts and next steps needed for clinical translation, providing a roadmap for the future of cardiovascular medicine.

With its focus on the intersection of artificial intelligence and computational modeling of the heart, this book is an essential resource for researchers, clinicians, and students seeking to stay at the forefront of this rapidly evolving field.

Published by Elsevier Science in November 2019, “Artificial Intelligence for Computational Modeling of the Heart” is a valuable contribution to the ongoing dialogue on the role of AI in healthcare. With its clear explanations, real-world examples, and vision for the future, this book is poised to make a significant impact on the world of cardiology.

ISBN: 9780128175941