Video-based AI for beat-to-beat assessment of cardiac function
Stanford University · Cedars-Sinai Medical Center · +1 more institution
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
1,024
total citations
- FWCI
- 64.64
- Percentile
- 100%
- References
- 38
Citations per year
Authors
11Topics & keywords
Topics
Keywords
- Ejection fraction
- Ventricle
- Computer science
- Cardiology
- Artificial intelligence
- Cardiac function curve
- Heart failure
- Medicine
UN Sustainable Development Goals
- Industry, innovation and infrastructure
No related works found for this paper.