TY - JOUR
T1 - The effect of cardiac rhythm on artificial intelligence-enabled ECG evaluation of left ventricular ejection fraction prediction in cardiac intensive care unit patients
AU - Kashou, Anthony H.
AU - Noseworthy, Peter A.
AU - Lopez-Jimenez, Francisco
AU - Attia, Zachi I.
AU - Kapa, Suraj
AU - Friedman, Paul A.
AU - Jentzer, Jacob C.
N1 - Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/9/15
Y1 - 2021/9/15
N2 - The presence of left ventricular systolic dysfunction (LVSD) alters clinical management and prognosis in most acute and chronic cardiovascular conditions. While transthoracic echocardiography (TTE) remains the most common diagnostic tool to screen for LVSD, it is operator-dependent, time-consuming, effort-intensive, and relatively expensive. Recent work has demonstrated the ability of an artificial intelligence-augment ECG (AI-ECG) model to accurately predict LVSD in critical intensive care unit (CICU) patients. We demonstrate that the AI-ECG algorithm can maintain its performance in these patients with and without AF despite their clinical differences. An AI-ECG algorithm can serve as a non-invasive, inexpensive, and rapid screening tool for early detection of LVSD in resource-limited settings, and potentially expedite clinical decision making and guideline-directed therapies in the acute care setting.
AB - The presence of left ventricular systolic dysfunction (LVSD) alters clinical management and prognosis in most acute and chronic cardiovascular conditions. While transthoracic echocardiography (TTE) remains the most common diagnostic tool to screen for LVSD, it is operator-dependent, time-consuming, effort-intensive, and relatively expensive. Recent work has demonstrated the ability of an artificial intelligence-augment ECG (AI-ECG) model to accurately predict LVSD in critical intensive care unit (CICU) patients. We demonstrate that the AI-ECG algorithm can maintain its performance in these patients with and without AF despite their clinical differences. An AI-ECG algorithm can serve as a non-invasive, inexpensive, and rapid screening tool for early detection of LVSD in resource-limited settings, and potentially expedite clinical decision making and guideline-directed therapies in the acute care setting.
KW - Artificial intelligence
KW - Atrial fibrillation
KW - Cardiac intensive care unit
KW - Echocardiography
KW - Electrocardiogram
KW - Left ventricular systolic dysfunction
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U2 - 10.1016/j.ijcard.2021.07.001
DO - 10.1016/j.ijcard.2021.07.001
M3 - Article
C2 - 34242690
AN - SCOPUS:85110306995
SN - 0167-5273
VL - 339
SP - 54
EP - 55
JO - International Journal of Cardiology
JF - International Journal of Cardiology
ER -