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

• Published in: Mayo Clinic proceedings. Innovations, quality & outcomes Vol. 9; no. 5; p. 100652
• Main Authors: Yu, Hee Tae, Walker, Laura E., Lee, Eunjung, Abbasi, Muhannad, Wopperer, Samuel, Tsaban, Gal, Kopecky, Kathleen, Lopez-Jimenez, Francisco, Friedman, Paul, Attia, Zachi, Oh, Jae K.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.10.2025; Elsevier
• Subjects: Internal Medicine; ECG; AI-ECG; FP; LV; AUC; ED; filling pressures; electrocardiogram; artificial intelligence-enhanced 12-lead electrocardiogram; area under the curve; left ventricular; emergency department

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. We identified 2412 patients aged 18 years or older presented with dyspnea/shortness of b...