Abstract
With innovations in therapeutic technologies and changes in population demographics, transcatheter interventions for structural heart disease have become the preferred treatment and will keep growing. Yet, a thorough clinical selection and efficient pathway from diagnosis to treatment and follow-up are mandatory. In this review we reflect on how artificial intelligence may help to improve patient selection, pre-procedural planning, procedure execution and follow-up so to establish efficient and high quality health care in an increasing number of patients.
| Original language | English |
|---|---|
| Journal | Trends in Cardiovascular Medicine |
| Volume | 32 |
| Issue number | 3 |
| Pages (from-to) | 153-159 |
| Number of pages | 7 |
| ISSN | 1050-1738 |
| DOIs | |
| Publication status | Published - 2022 |
Keywords
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Transcatheter Interventions
- Structural Heart Disease
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