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An Artificial Intelligence-Enabled Electrocardiogram to Evaluate Patients With Dyspnea in the Emergency Department

Objective: To evaluate whether an Artificial Intelligence-Enabled Electrocardiogram (AI-ECG) for diastolic function/filling pressure can determine whether dyspnea in emergency department (ED) patients is cardiac in origin. Patients and Methods: We identified 2412 patients aged 18 years or older pres...

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Главные авторы: Hee Tae Yu, MD, PhD, Laura E. Walker, MD, Eunjung Lee, PhD, Muhannad Abbasi, MBBCh, Samuel Wopperer, MD, Gal Tsaban, MD, PhD, Kathleen Kopecky, MD, Francisco Lopez-Jimenez, MD, Paul Friedman, MD, Zachi Attia, PhD, Jae K. Oh, MD
Формат: Artigo
Язык:Inglês
Опубликовано: Elsevier 2025-10-01
Серии:Mayo Clinic Proceedings: Innovations, Quality & Outcomes
Online-ссылка:http://www.sciencedirect.com/science/article/pii/S2542454825000633
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