Journal articles on the topic 'Cardiac digital twins'
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Meijer, Charles, Hae-Won Uh, and Said el Bouhaddani. "Digital Twins in Healthcare: Methodological Challenges and Opportunities." Journal of Personalized Medicine 13, no. 10 (2023): 1522. http://dx.doi.org/10.3390/jpm13101522.
Full textPalmer, Sarah Jane. "The age of digital twins in cardiac healthcare." British Journal of Cardiac Nursing 20, no. 4 (2025): 1–4. https://doi.org/10.12968/bjca.2025.0014.
Full textAmmar, Mohamed, and Hamed Al-Raweshidy. "Integration of Digital Twins and Artificial Intelligence for Classifying Cardiac Ischemia." Journal on Artificial Intelligence 5 (2023): 195–218. http://dx.doi.org/10.32604/jai.2023.045199.
Full textZappon, Elena, Matthias A. F. Gsell, Karli Gillette, and Gernot Plank. "Quantifying anatomically-based in-silico electrocardiogram variability for cardiac digital twins." Computers in Biology and Medicine 189 (May 2025): 109930. https://doi.org/10.1016/j.compbiomed.2025.109930.
Full textUgurlu, Devran, Shuang Qian, Elliot Fairweather, et al. "Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants." PLOS One 20, no. 7 (2025): e0327158. https://doi.org/10.1371/journal.pone.0327158.
Full textSánchez, Jorge, Inés Llorente-Lipe, Cristian Barrios Espinosa, et al. "Enhancing premature ventricular contraction localization through electrocardiographic imaging and cardiac digital twins." Computers in Biology and Medicine 190 (May 2025): 109994. https://doi.org/10.1016/j.compbiomed.2025.109994.
Full textXu, Jun, and Fei Wang. "Cardiac Mechano-Electrical-Fluid Interaction: A Brief Review of Recent Advances." Eng 6, no. 8 (2025): 168. https://doi.org/10.3390/eng6080168.
Full textQian, Shuang, Devran Ugurlu, Elliot Fairweather, et al. "Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization." Nature Cardiovascular Research 4, no. 5 (2025): 624–36. https://doi.org/10.1038/s44161-025-00650-0.
Full textJung, Alexander, Matthias A. F. Gsell, Christoph M. Augustin, and Gernot Plank. "An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics—A Multi-Fidelity Approach for Personalising Active Mechanics." Mathematics 10, no. 5 (2022): 823. http://dx.doi.org/10.3390/math10050823.
Full textRudnicka, Zofia, Klaudia Proniewska, Mark Perkins, and Agnieszka Pregowska. "Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review." Electronics 13, no. 5 (2024): 866. http://dx.doi.org/10.3390/electronics13050866.
Full textLi, Lei, Hannah Smith, Yilin Lyu, et al. "Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins." Medical Image Analysis 101 (April 2025): 103472. https://doi.org/10.1016/j.media.2025.103472.
Full textAvanzato, Roberta, Francesco Beritelli, Alfio Lombardo, and Carmelo Ricci. "Heart DT: Monitoring and Preventing Cardiac Pathologies Using AI and IoT Sensors." Future Internet 15, no. 7 (2023): 223. http://dx.doi.org/10.3390/fi15070223.
Full textStrocchi, Marina, Stefano Longobardi, Christoph M. Augustin, et al. "Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators." PLOS Computational Biology 19, no. 6 (2023): e1011257. http://dx.doi.org/10.1371/journal.pcbi.1011257.
Full textGillette, Karli, Matthias A. F. Gsell, Anton J. Prassl, et al. "A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs." Medical Image Analysis 71 (July 2021): 102080. http://dx.doi.org/10.1016/j.media.2021.102080.
Full textSánchez Arciniegas, Jorge P., Inés Llorente Lipe, Andreu M. Climent, and María S. Guillem. "PO-05-032 ENHANCED ELECTROCARDIOGRAPHIC IMAGING WITH CARDIAC DIGITAL TWINS FOR THE LOCATION OF PREMATURE VENTRICULAR CONTRACTION." Heart Rhythm 21, no. 5 (2024): S565. http://dx.doi.org/10.1016/j.hrthm.2024.03.1428.
Full textVivarelli, Cecilia, Eugenio Mattei, Federica Ricci, Sara D'Eramo, and Giovanni Calcagnini. "A Tool for the Assessment of Electromagnetic Compatibility in Active Implantable Devices: The Pacemaker Physical Twin." Bioengineering 12, no. 7 (2025): 689. https://doi.org/10.3390/bioengineering12070689.
Full textNesterova, T. M., V. Yu Kabak, D. S. Lebedev, and O. E. Solovyova. "Mathematical models and artificial intelligence for studying the ventricular dyssynchrony and improving the effectiveness of cardiac resynchronization therapy." Russian Journal of Cardiology 29, no. 4S (2024): 6194. https://doi.org/10.15829/1560-4071-2024-6194.
Full textBartusik-Aebisher, Dorota, Kacper Rogóż, and David Aebisher. "Artificial Intelligence and ECG: A New Frontier in Cardiac Diagnostics and Prevention." Biomedicines 13, no. 7 (2025): 1685. https://doi.org/10.3390/biomedicines13071685.
Full textBayer, Jennifer, Christoph Hintermüller, Hermann Blessberger, and Clemens Steinwender. "ECG Electrode Localization: 3D DS Camera System for Use in Diverse Clinical Environments." Sensors 23, no. 12 (2023): 5552. http://dx.doi.org/10.3390/s23125552.
Full textGalappaththige, Suran, Richard A. Gray, Caroline Mendonca Costa, Steven Niederer, and Pras Pathmanathan. "Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar." PLOS Computational Biology 18, no. 10 (2022): e1010541. http://dx.doi.org/10.1371/journal.pcbi.1010541.
Full textCook, Amanda. "Twin Reversed Arterial Perfusion (TRAP) Sequence: A Rare Case Report of an “Acardiac” Twin." Canadian Journal of Medical Sonography 11, no. 1 (2020): 5–12. http://dx.doi.org/10.3138/cjms.v11i1.5.
Full textKumar D, Ajith. "Augmented Vision-Enabled Digital Twin System for Real-Time ICU Patient Monitoring and Emergency Response." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem46582.
Full textGrandits, Thomas, Karli Gillette, Gernot Plank, and Simone Pezzuto. "Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction system." Medical Image Analysis 105 (October 2025): 103641. https://doi.org/10.1016/j.media.2025.103641.
Full textZheng, Tianbao, Luca Azzolin, Jorge Sánchez, Olaf Dössel, and Axel Loewe. "An automate pipeline for generating fiber orientation and region annotation in patient specific atrial models." Current Directions in Biomedical Engineering 7, no. 2 (2021): 136–39. http://dx.doi.org/10.1515/cdbme-2021-2035.
Full textLaudenschlager, Sebastian, Samuel Schofield, Nicolas Drysdale, et al. "Estimation of pulmonary vascular resistance for Glenn physiology." PLOS ONE 19, no. 7 (2024): e0307890. http://dx.doi.org/10.1371/journal.pone.0307890.
Full textHerrero Martin, C., J. Reventos-Presmanes, J. B. Guichard, et al. "Generation of cardiac digital twins based on noninvasive cardiac mapping." Europace 25, Supplement_1 (2023). http://dx.doi.org/10.1093/europace/euad122.643.
Full textCluitmans, Matthijs J. M., Gernot Plank, and Jordi Heijman. "Digitale Zwillinge in der kardialen Elektrophysiologie – aktueller Entwicklungsstand und kommende Herausforderungen." Herzschrittmachertherapie + Elektrophysiologie, April 12, 2024. http://dx.doi.org/10.1007/s00399-024-01014-0.
Full textLippert, M., K. A. Dumont, S. Birkeland, et al. "Cardiac anatomic digital twins - findings from a single national centre." European Heart Journal - Digital Health, September 18, 2024. http://dx.doi.org/10.1093/ehjdh/ztae070.
Full textThangaraj, Phyllis M., Sean H. Benson, Evangelos K. Oikonomou, Folkert W. Asselbergs, and Rohan Khera. "Cardiovascular care with digital twin technology in the era of generative artificial intelligence." European Heart Journal, September 26, 2024. http://dx.doi.org/10.1093/eurheartj/ehae619.
Full textMolero Alabau, R., R. Moreno-Lopez, A. Cano-Cabanero, et al. "Enhanced identification of atrial arrhythmic triggers using cardiac digital twins generated from imageless electrocardiographic imaging." Europace 27, Supplement_1 (2025). https://doi.org/10.1093/europace/euaf085.051.
Full textMorotti, Stefano. "Precision cardiac electrophysiology: toward digital twins and beyond." Journal of Precision Medicine: Health and Disease, June 2025, 100009. https://doi.org/10.1016/j.premed.2025.100009.
Full textWaight, Michael C., Adityo Prakosa, Anthony C. Li, et al. "Personalized Heart Digital Twins Detect Substrate Abnormalities in Scar-Dependent Ventricular Tachycardia." Circulation, January 6, 2025. https://doi.org/10.1161/circulationaha.124.070526.
Full textLožek, Miroslav, Jan Kovanda, Peter Kubuš, et al. "How to assess and treat right ventricular electromechanical dyssynchrony in post-repair tetralogy of Fallot: insights from imaging, invasive studies and computational modelling." Europace, January 24, 2024. http://dx.doi.org/10.1093/europace/euae024.
Full textSalvador, Matteo, Marina Strocchi, Francesco Regazzoni, et al. "Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations." npj Digital Medicine 7, no. 1 (2024). http://dx.doi.org/10.1038/s41746-024-01084-x.
Full textGonzalez-Martin, P., M. Webber, F. Chan, et al. "A pipeline for developing digital cardiac twins integrating cardiovascular magnetic resonance and electrocardiographic imaging: results from the MyoFit46 study." European Heart Journal 45, Supplement_1 (2024). http://dx.doi.org/10.1093/eurheartj/ehae666.3508.
Full textLi, Lei, Julia Camps, Blanca Rodriguez, and Vicente Grau. "Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey." IEEE Reviews in Biomedical Engineering, 2024, 1–19. http://dx.doi.org/10.1109/rbme.2024.3486439.
Full textQian, S., D. Ugurlu, E. Fairweather, et al. "Cardiac digital twins of the adult population: linking electrophysiological functions to anatomy." Europace 25, Supplement_1 (2023). http://dx.doi.org/10.1093/europace/euad122.591.
Full textAbd Elaziz, Mohamed, Mohammed A. A. Al‐qaness, Abdelghani Dahou, et al. "Digital twins in healthcare: Applications, technologies, simulations, and future trends." WIREs Data Mining and Knowledge Discovery, September 6, 2024. http://dx.doi.org/10.1002/widm.1559.
Full textGillette, Karli, Matthias A. F. Gsell, Julien Bouyssier, et al. "Automated Framework for the Inclusion of a His–Purkinje System in Cardiac Digital Twins of Ventricular Electrophysiology." Annals of Biomedical Engineering, August 24, 2021. http://dx.doi.org/10.1007/s10439-021-02825-9.
Full textHwang, T., O. Kwon, B. Lim, et al. "Clinical application of virtual antiarrhythmic drug test using digital twins in patients who recurred atrial fibrillation after catheter ablation." Europace 25, Supplement_1 (2023). http://dx.doi.org/10.1093/europace/euad122.076.
Full textViola, Francesco, Giulio Del Corso, Ruggero De Paulis, and Roberto Verzicco. "GPU accelerated digital twins of the human heart open new routes for cardiovascular research." Scientific Reports 13, no. 1 (2023). http://dx.doi.org/10.1038/s41598-023-34098-8.
Full textSchuijt, Eva, Daniel Scherr, Gernot Plank, Ulrich Schotten, and Jordi Heijman. "Evolution in electrophysiology 100 years after Einthoven: translational and computational innovations in rhythm control of atrial fibrillation." Europace, December 27, 2024. https://doi.org/10.1093/europace/euae304.
Full textO’Hara, Ryan P., Audrey Lacy, Adityo Prakosa, et al. "Cardiac MRI Oversampling in Heart Digital Twins Improves Preprocedure Ventricular Tachycardia Identification in Postinfarction Patients." JACC: Clinical Electrophysiology, June 2024. http://dx.doi.org/10.1016/j.jacep.2024.04.032.
Full textLi, Lei, Julia Camps, Zhinuo Wang, et al. "Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference." IEEE Transactions on Medical Imaging, 2024, 1. http://dx.doi.org/10.1109/tmi.2024.3367409.
Full textKarli, GIllette, A.F. Gsell Matthias, Bouyssier Julien, et al. "Automated Framework for the Inclusion of a His–Purkinje System in Cardiac Digital Twins of Ventricular Electrophysiology." May 17, 2023. https://doi.org/10.5281/zenodo.7944267.
Full textKarli, Gillette, A.F. Gsell Matthias, J. Prassl Anton, et al. "A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs." May 17, 2023. https://doi.org/10.5281/zenodo.7944373.
Full textde Lepper, Anouk G. W., Carlijn M. A. Buck, Marcel van ‘t Veer, Wouter Huberts, Frans N. van de Vosse, and Lukas R. C. Dekker. "From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy." Journal of The Royal Society Interface 19, no. 194 (2022). http://dx.doi.org/10.1098/rsif.2022.0317.
Full textZhang, Yingnan, Kelly Zhang, Adityo Prakosa, et al. "Predicting ventricular tachycardia circuits in patients with arrhythmogenic right ventricular cardiomyopathy using genotype-specific heart digital twins." eLife 12 (October 18, 2023). http://dx.doi.org/10.7554/elife.88865.3.
Full textXing, Xiaodan, Javier Del Ser, Yinzhe Wu, et al. "HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis." IEEE Journal of Biomedical and Health Informatics, 2022, 1. http://dx.doi.org/10.1109/jbhi.2022.3158897.
Full textRoopnarinesingh, Ricardo, Debanjan Mukherjee, Sreeparna Majee, Kelly Cao, Leon Rinkel, and Jonathan Coutinho. "Abstract TP388: Integrating standard-of-care clinical stroke workup within in silico embolic stroke models for etiology disambiguation." Stroke 56, Suppl_1 (2025). https://doi.org/10.1161/str.56.suppl_1.tp388.
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