Building an Extracorporeal Membrane Oxygenation Digital Twin Using High-Resolution Patient Data: An artificial intelligence model for virtual reality simulation
High-resolution ECMO data can be transformed into a digital twin for VR training. This framework broadens access to advanced ECMO education and establishes a foundation for multicentre validation, federated learning, and future expansion towards a critical-care digital-twin platform.
Authors
- Jerry Bruce Braun
- Daniel Van Der Mee Mendes
- Bella Kaufman (ORCID: https://orcid.org/0000-0002-4236-3374)
- Juan Hugo
- Samuel A Max (ORCID: https://orcid.org/0000-0002-8179-3924)
- Zaheer U.D. Babar
- Priscilla Westbroek
- Antony van Dijk
- Edris A.F. Mahtab
- Carlos Elzo Kraemer
- M Bourass
- Renske Brekelmans
- Bram Schalkwijk
- Lydia Lim
- Abdelrhman Mostafa Ali
- Robert Klautz
- Andre van der Mee Mendes
Institutions
- Leiden University Medical Center (NL)
- Erasmus MC (NL)
- NYU Langone Health (US)
- New York/New Jersey VA Health Care Network (US)
- Amsterdam Neuroscience (NL)
Publication Details
- Journal
- Interdisciplinary CardioVascular and Thoracic Surgery
- Published
- 2026-02-18
- DOI
- https://doi.org/10.1093/icvts/ivag047
- Primary Topic
- Mechanical Circulatory Support Devices
- Type
- article
- Field-Weighted Citation Impact
- 0.00