Artificial Intelligence for Computational Modeling of the Heart

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

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  • Author : Tommaso Mansi
  • Publisher : Academic Press
  • Pages : 260 pages
  • ISBN : 012817594X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKArtificial Intelligence for Computational Modeling of the Heart

Artificial Intelligence for Computational Modeling of the Heart

Artificial Intelligence for Computational Modeling of the Heart
  • Author : Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
  • Publisher : Academic Press
  • Release : 01 December 2019
GET THIS BOOKArtificial Intelligence for Computational Modeling of the Heart

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

Statistical Atlases and Computational Models of the Heart

Statistical Atlases and Computational Models of the Heart
  • Author : Oscar Camara,Mihaela Pop,Kawal Rhode,Maxime Sermesant,Nic Smith,Alistair Young
  • Publisher : Springer Science & Business Media
  • Release : 03 September 2010
GET THIS BOOKStatistical Atlases and Computational Models of the Heart

computationalmodelswith experimentaldata. A completedatasetwasprovided in advance, containing the cardiac geometry and ?bre orientations from MRI as well as epicardial transmembrane potentials from optical mapping.

Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence

Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence
  • Author : Gogate, Lakshmi
  • Publisher : IGI Global
  • Release : 28 February 2013
GET THIS BOOKTheoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence

The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
  • Author : Mihaela Pop,Maxime Sermesant,Jichao Zhao,Shuo Li,Kristin McLeod,Alistair Young,Kawal Rhode,Tommaso Mansi
  • Publisher : Springer
  • Release : 05 March 2019
GET THIS BOOKStatistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges

This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 52 revised full workshop papers were carefully reviewed and selected from 60 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different

Patient-Specific Computational Modeling

Patient-Specific Computational Modeling
  • Author : Begoña Calvo Lopez,Estefanía Peña
  • Publisher : Springer Science & Business Media
  • Release : 20 May 2012
GET THIS BOOKPatient-Specific Computational Modeling

This book addresses patient-specific modeling. It integrates computational modeling, experimental procedures, imagine clinical segmentation and mesh generation with the finite element method (FEM) to solve problems in computational biomedicine and bioengineering. Specific areas of interest include cardiovascular problems, ocular and muscular systems and soft tissue modeling. Patient-specific modeling has been the subject of serious research over the last seven years and interest in the area is continually growing and this area is expected to further develop in the near future.

Computational Cardiovascular Mechanics

Computational Cardiovascular Mechanics
  • Author : Julius M. Guccione,Ghassan Kassab,Mark B. Ratcliffe
  • Publisher : Springer Science & Business Media
  • Release : 08 January 2010
GET THIS BOOKComputational Cardiovascular Mechanics

Computational Cardiovascular Mechanics provides a cohesive guide to creating mathematical models for the mechanics of diseased hearts to simulate the effects of current treatments for heart failure. Clearly organized in a two part structure, this volume discusses various areas of computational modeling of cardiovascular mechanics (finite element modeling of ventricular mechanics, fluid dynamics) in addition to a description an analysis of the current applications used (solid FE modeling, CFD). Edited by experts in the field, researchers involved with biomedical and

Affect and Artificial Intelligence

Affect and Artificial Intelligence
  • Author : Elizabeth A. Wilson
  • Publisher : University of Washington Press
  • Release : 01 March 2011
GET THIS BOOKAffect and Artificial Intelligence

In 1950, Alan Turing, the British mathematician, cryptographer, and computer pioneer, looked to the future: now that the conceptual and technical parameters for electronic brains had been established, what kind of intelligence could be built? Should machine intelligence mimic the abstract thinking of a chess player or should it be more like the developing mind of a child? Should an intelligent agent only think, or should it also learn, feel, and grow? Affect and Artificial Intelligence is the first in-depth analysis

Computational Models of Argument

Computational Models of Argument
  • Author : Paul E. Dunne,Trevor J. M. Bench-Capon
  • Publisher : IOS Press
  • Release : 21 January 2021
GET THIS BOOKComputational Models of Argument

"Argumentation has evolved from its original study primarily by philosophers to emerge in the last ten years as an important sub-discipline of Artificial Intelligence. There have been significant contributions resulting from this, including approaches to modelling and analysis of defeasible reasoning, formal bases for negotiation and dialogue processes in multiagent systems, and the use of argumentation theory in AI applications whose nature is not best described through traditional logics, e.g. legal reasoning, evaluation of conflicting beliefs, etc. The process

Computational Models of the Heart for Planning and Treatment of Outflow Tract Ventricular Arrhythmias

Computational Models of the Heart for Planning and Treatment of Outflow Tract Ventricular Arrhythmias
  • Author : Rubén Doste Beltrán
  • Publisher : Unknown Publisher
  • Release : 21 January 2021
GET THIS BOOKComputational Models of the Heart for Planning and Treatment of Outflow Tract Ventricular Arrhythmias

The purpose of this thesis was to develop personalised cardiovascular therapy guided by multimodal noninvasive imaging and simulations, combined with artificial intelligence tools, for the management of the outflow tract ventricular arrhythmias. The main contributions of this thesis are twofold: -We propose a pipeline to build heart computational models for simulation of ventricular tachycardia that incorporates a new specific rule-base method for fiber generation, including the ventricular outflow tracts. The pipeline allows carrying out multiscale simulations, obtaining the patient ECG

Computational Modeling in Tissue Engineering

Computational Modeling in Tissue Engineering
  • Author : Liesbet Geris
  • Publisher : Springer Science & Business Media
  • Release : 30 October 2012
GET THIS BOOKComputational Modeling in Tissue Engineering

One of the major challenges in tissue engineering is the translation of biological knowledge on complex cell and tissue behavior into a predictive and robust engineering process. Mastering this complexity is an essential step towards clinical applications of tissue engineering. This volume discusses computational modeling tools that allow studying the biological complexity in a more quantitative way. More specifically, computational tools can help in: (i) quantifying and optimizing the tissue engineering product, e.g. by adapting scaffold design to optimize

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
  • Author : Debmalya Barh
  • Publisher : Academic Press
  • Release : 04 March 2020
GET THIS BOOKArtificial Intelligence in Precision Health

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug

Next-Generation Applied Intelligence

Next-Generation Applied Intelligence
  • Author : Been-Chian Chien,Tzung-Pei Hong,Moonis Ali
  • Publisher : Springer Science & Business Media
  • Release : 09 June 2009
GET THIS BOOKNext-Generation Applied Intelligence

The International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), always sponsored by the International So- ety of Applied Intelligence (ISAI), emphasizes applications of applied intelligent systems to solve real-life problems in all areas. It is held every year and has become one of the biggest and most important academic activities concerning the theory and applications of intelligent systems in the world. The IEA/AIE 2009 conference was hosted by the National University of Tainan and

Computational Cardiology

Computational Cardiology
  • Author : Frank B. Sachse
  • Publisher : Springer
  • Release : 12 January 2005
GET THIS BOOKComputational Cardiology

This book is devoted to computer-based modeling in cardiology, by taking an educational point of view, and by summarizing knowledge from several, commonly considered delimited areas of cardiac research in a consistent way. First, the foundations and numerical techniques from mathematics are provided, with a particular focus on the finite element and finite differences methods. Then, the theory of electric fields and continuum mechanics is introduced with respect to numerical calculations in anisotropic biological media. In addition to the presentation