| Original language | English |
|---|---|
| Article number | ehae792 |
| Journal | European Heart Journal |
| Number of pages | 3 |
| ISSN | 0195-668X |
| DOIs | |
| Publication status | E-pub ahead of print - 11 Dec 2024 |
Artificial intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities: the ARISTOTELES project
Giuseppe Boriani, Davide Antonio Mei, Gregory Y. H. Lip*, ARISTOTELES Consortium , Martin Bøgsted (Member of study group), Charles Philippe Edouard Vesteghem (Member of study group), Katja Hose (Member of study group), Tomer Sagi (Member of study group), Søren Johnsen (Member of study group), Michael Eriksen (Member of study group), Peter Brønnum Nielsen (Member of study group), Rasmus Froberg Brøndum (Member of study group), Simon Christian Dahl (Member of study group), Thomas Stampe Rasmussen (Member of study group)
*Corresponding author for this work
- Danish Center for Health Services Research
- The Faculty of Medicine
- Department of Clinical Medicine
- Center for Clinical Data Science
- Aalborg University Hospital
- Artificial Intelligence and Machine Learning
- Data, Knowledge and Web Engineering
- The Technical Faculty of IT and Design
- Department of Computer Science
- Department of Cardiology
- Institutsekretariat
- Grants & Contracts
- AAU Shared Services
- Research Services
Research output: Contribution to journal › Journal article › Communication