Episode
Journal editorial - Artificial intelligence–derived stress ejection fraction in stress cardiac magnetic resonance with dipyridamole: bridging past insights with future innovations
- Podcast
- ESC Cardio Talk
- Published
- May 14, 2025
- Duration seconds
- 543
- Processing state
not_requested
Actions
POST https://stenobird.com/v1/public/podcasts/esc-cardio-talk-1015094/episodes/journal-editorial-artificial-intelligence-derived-stress-ejection-fraction-in-stress-cardiac-magnetic-resonance-with-dipyridamole-bridging-past-insights-with-future-innovations/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/esc-cardio-talk-1015094/journal-editorial-artificial-intelligence-derived-stress-ejection-fraction-in-stress-cardiac-magnetic-resonance-with-dipyridamole-bridging-past-insights-with-future-innovations.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
With Damiano Fedele, University of Bologna, Bologna - Italy and University Medical Center Utrecht - The Netherlands, Marco Guglielmo, University Medical Center Utrecht, Utrecht - The Netherlands, and Anna Giulia Pavon, Cardiocentro Ticino Institute, Lugano - Switzerland. Link to editorial Link to paper