Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study
The TAILOR study was approved by local ethics boards in Barcelona (CPMP/ICH/135/95) and Medical Research Ethics Committee Oost-Nederland (NL86346.091.24). Patients will be included after providing informed consent. Study results will be presented in peer-reviewed journals and at global conferences.
Authors
- Tim J.F. ten Cate
- Anil M. Tuladhar (ORCID: https://orcid.org/0000-0002-4815-2834)
- Evi J. van Kempen (ORCID: https://orcid.org/0009-0009-1608-8063)
- Sandra Ortega‐Martorell (ORCID: https://orcid.org/0000-0001-9927-3209)
- Jordi Jimenez-Conde
- Abel Palacio-Gili
- Frederick Jan Anton Meijer
- Brigitte Beltran Marmol
- Eva Giralt-Steinhauer
- Joan Jiménez-Balado
Institutions
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Radboud Institute for Molecular Life Sciences (NL)
- Hospital Del Mar (ES)
- Liverpool John Moores University (GB)
Publication Details
- Journal
- BMJ Open
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1136/bmjopen-2025-106518
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission