authors
- Adedinsewo, Demilade
- Friedman, Paul A
- Lopez-Jimenez, Francisco
- Noseworthy, Peter A
- Carter, Rickey E
- Attia, Zachi
- Johnson, Patrick
- Kashou, Anthony H
- Dugan, Jennifer L
- Albus, Michael
- Sheele, Johnathan M
- Fernanda Bellolio, MD, MSc
Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.
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Overview
publication date
- August 4, 2020
published in
has subject area
- Aged
- Artificial Intelligence
- Cardiology Service, Hospital
- Diagnosis, Computer-Assisted
- Dyspnea
- Electrocardiography
- Emergency Medical Services
- Female
- Heart Failure, Systolic
- Humans
- Male
- Middle Aged
- Predictive Value of Tests
- Reproducibility of Results
- Retrospective Studies
- Signal Processing, Computer-Assisted
- Stroke Volume
- Systole
- Ventricular Dysfunction, Left
- Ventricular Function, Left