Abstract
The authors would like to update the funding source for this work. We would like to include the following funding statement: “The authors also acknowledge support by NIH T32 HL007111.” The authors would like to apologize for any inconvenience caused.
| Original language | English |
|---|---|
| Pages (from-to) | 125 |
| Number of pages | 1 |
| Journal | International Journal of Cardiology |
| Volume | 348 |
| DOIs |
|
| State | Published - 1 Feb 2022 |
| Externally published | Yes |
ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine
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Dive into the research topics of 'Corrigendum to “The effect of cardiac rhythm on artificial intelligence-enabled ECG evaluation of left ventricular ejection fraction prediction in cardiac intensive care unit patients” (International Journal of Cardiology (2021) 339 (54–55), (S0167527321010950), (10.1016/j.ijcard.2021.07.001))'. Together they form a unique fingerprint.Cite this
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