Page 9 - Artificial Intelligence for Computational Modeling of the Heart

viii Contents

5.3.2 Parameter estimation using Reinforcement Learning. . . . . . 173
5.3.3 Application to cardiac electrophysiology ................. 174

5.3.4 Application to whole-body circulation.................... 177
5.4 Summary ................................................... 180
Chapter 6 Additional clinical applications . . . . . . . . . . . . . . . . . . . . . .... 183
Felix Meister, Helene Houle, Cosmin Nita, Andrei Puiu, Lucian Mihai Itu,
Saikiran Rapaka
6.1 Cardiac resynchronization therapy............................ 183
6.1.1 Introduction . . ......................................... 183
6.1.2 Methods............................................... 184
6.1.3 Results ................................................ 186
6.1.4 Discussion............................................. 189
6.2 Aortic coarctation ........................................... 190

6.2.1 Introduction . . ......................................... 190
6.2.2 Methods............................................... 192
6.2.3 Results ................................................ 200
6.2.4 Discussion............................................. 201
6.3 Whole-body circulation . ..................................... 203
6.3.1 Introduction . . ......................................... 203
6.3.2 Methods............................................... 203
6.3.3 Results and discussion ................................. 206

6.4 Summary ................................................... 210
Bibliography ................................................ 211

Index....................................................... 235