Zachi Attia
0000-0002-9706-7900
Mayo Clinic
9 papers found
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Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care.
Migraine with aura associates with a higher artificial intelligence: ECG atrial fibrillation prediction model output compared to migraine without aura in both women and men
Current and future implications of the artificial intelligence electrocardiogram: the transformation of healthcare and attendant research opportunities
Application of artificial intelligence to the electrocardiogram
Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device
Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging
Mortality risk stratification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients
An Artificial Intelligence-Enabled ECG Algorithm to Identify Patients with Left Ventricular Systolic Dysfunction Presenting to the Emergency Department with Dyspnea
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