Improved risk prediction using machine learning on perfusion CMR and 10-year registry data

Journal of Cardiovascular Magnetic Resonance 2026 Open access

Read full text
Authors: Mathias Permlid, Mattias Karlsson, Shahnaz Akil Engblom, Ellen Ostenfeld, Barbro Kjellström, Peter Kellman, Håkan Arheden, Morten Kraen, Henrik Engblom
DOI: 10.1016/j.jocmr.2025.102342
Cited by: 0

Fields of Study & Subjects

Cardiac Imaging and Diagnostics Advanced MRI Techniques and Applications Artificial Intelligence in Healthcare

Publication details

Journal / source
Journal of Cardiovascular Magnetic Resonance
Volume
28
Pages
102342–102342
Publication date
1 January 2026
Language
EN