Challenges in data and AI: The clinician's perspective

Sebastian Fritsch

University Hospital RWTH Aachen, Germany

Deep Learning-Based Koopman Analysis for the Prediction of Multi-Beat Cardiovascular Dynamics

Lars Berend Brandt^1,2, Francesco Moscato^1,3,4, Max Haberbusch^2,5, Arjan Kuijper^1,3

¹Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria; ²Department of Computer Science, Technical University Darmstadt, Germany; ³Ludwig Boltzmann Institute for Cardiovascular Research, Austria; ⁴Austrian Institute for Tissue Regeneration, Austria; ⁵Fraunhofer Institute for Computer Graphics Research IGD, Germany

ECMO PAL V-V: DEEP NEURAL NETWORK FOR VENOVENOUS ECMO PROGNOSTICATION

Andrew Stephens^1,2, Michael Seman^1,2, Arne Diehl³, David Pilcher³, Vincent Pellegrino³, Ryan Barbaro⁴, Daniel Brodie⁵, Shaun Gregory^1,2, Carol Hodgson⁶

¹Advanced Cardiorespiratory Engineering Laboratory, Australia; ²Queensland University of Technology, Australia; ³Alfred Hospital, Australia; ⁴University of Michigan, USA; ⁵Johns Hopkins University, USA; ⁶Monash University, Australia

Automatic Heart Disease Prediction using Modal Decomposition and Masked Autoencoders for Limited Echocardiography Databases

Andrés Bell-Navas¹, Nourelhouda Groun^1,2, María Villalba-Orero^3,4, Enrique Lara-Pezzi³, Jesús Garicano-Mena^1,5, Soledad Le Clainche^1,5

¹ETSI Aeronáutica y del Espacio, Universidad Politécnica de Madrid, 28040, Madrid, Spain; ²ETSI Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid, Spain; ³Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029, Madrid, Spain; ⁴Facultad de Veterinaria – Universidad Complutense de Madrid, 28040, Madrid, Spain;; ⁵Center for Computational Simulation (CCS), 28660, Boadilla del Monte, Spain

Virtual Patient Data Generator: Synthetic ECMO Data for Enhanced Medical Device Development

Micha Landoll^1,2,3, Yifei Huang¹, Ulrich Steinseifer¹, Stephan Strassmann², Christian Karagiannidis², Michael Neidlin¹

¹Department of Cardiovascular Engineering, Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Germany; ²ARDS and ECMO Centre Cologne-Merheim, Dept. of Pneumology and Critical Care Medicine, Kliniken der Stadt Köln gGmbH, Witten/Herdecke University, Germany; ³Institute for Computational Biomedicine II, University Hospital Aachen, RWTH Aachen University, Germany

Rabbit to Human: Transfer Learning for ECG Delineation

Milica Ilic¹, Laurenz Berger^1,2, Max Haberbusch^1,2, Lisa Aurora Bernardo³, Laura Galassi^3,4, Calogero Oddo^3,4,5, Theodor Abart⁶, Thomas Schlöglhofer^1,2,6, Julia Riebandt⁶, Daniel Zimpfer⁶, Francesco Moscato^1,2,7

¹Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria; ²Ludwig Boltzmann Institute for Cardiovascular Research, Austria; ³The BioRobotics Institute, Scuola Superiore Sant’Anna, Italy; ⁴Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Italy; ⁵Interdisciplinary Research Center Health Science, Scuola Superiore Sant'Anna, Italy; ⁶Department of Cardiac Surgery, Medical University of Vienna, Austria; ⁷Austrian Cluster for Tissue Regeneration, Austria

INTEGRATING CFD AND DEEP LEARNING FOR ENHANCED HEMODYNAMIC PREDICTIONS IN THE LEFT VENTRICLE

Eneko Lazpita¹, Petros Koumoutsakos², Jesús Garicano-Mena¹, Soledad Le Clainche¹

¹Universidad Politécnica de Madrid, Spain; ²Harvard University, United States