TY - JOUR
T1 - Computer-Interpreted Electrocardiograms
T2 - Impact on Cardiology Practice
AU - Gupta, Shyla
AU - Kashou, Anthony H.
AU - Herman, Robert
AU - Smith, Stephen
AU - May, Adam
AU - Múnera Echeverri, Ana G.
AU - Del Sueldo, Mildren
AU - Berni, Ana C.
AU - Farina, Juan
AU - Garcia-Zamora, Sebastian
AU - Baranchuk, Adrian
N1 - Publisher Copyright:
© 2024, Sociedade Brasileira de Cardiologia. All rights reserved.
PY - 2024
Y1 - 2024
N2 - In the realm of modern cardiology, the integration of computer-interpreted electrocardiograms (CI-ECGs) has marked the beginning of a new era of diagnostic precision and efficiency. Contemporary electrocardiogram (ECG) integration systems, applying algorithms and artificial intelligence, have modernized the interpretation of heart rhythms and cardiac morphology. Due to their ability to rapidly analyze and interpret ECG recordings CI-ECGs have already profoundly impacted clinical practice. This review explores the evolution of computer interpreted ECG technology, evaluates the pros and cons of current automatic reporting systems, analyzes the growing role of artificial intelligence on ECG interpretation technologies, and discusses emerging applications that may have transformative effects on patient outcomes. Emphasis is placed on the role of ECGs in the automatic diagnosis of occlusion myocardial infarctions (OMI). AI models enhance accuracy and efficiency in ECG interpretation, offering insights into cardiac function and aiding timely detection of concerning patterns.
AB - In the realm of modern cardiology, the integration of computer-interpreted electrocardiograms (CI-ECGs) has marked the beginning of a new era of diagnostic precision and efficiency. Contemporary electrocardiogram (ECG) integration systems, applying algorithms and artificial intelligence, have modernized the interpretation of heart rhythms and cardiac morphology. Due to their ability to rapidly analyze and interpret ECG recordings CI-ECGs have already profoundly impacted clinical practice. This review explores the evolution of computer interpreted ECG technology, evaluates the pros and cons of current automatic reporting systems, analyzes the growing role of artificial intelligence on ECG interpretation technologies, and discusses emerging applications that may have transformative effects on patient outcomes. Emphasis is placed on the role of ECGs in the automatic diagnosis of occlusion myocardial infarctions (OMI). AI models enhance accuracy and efficiency in ECG interpretation, offering insights into cardiac function and aiding timely detection of concerning patterns.
KW - Artificial Intelligence
KW - Cardiology
KW - Electrocardiography
KW - Machine Learning
UR - http://www.scopus.com/inward/record.url?scp=85199250480&partnerID=8YFLogxK
U2 - 10.36660/ijcs.20240079
DO - 10.36660/ijcs.20240079
M3 - Review article
AN - SCOPUS:85199250480
SN - 2359-4802
VL - 37
JO - International Journal of Cardiovascular Sciences
JF - International Journal of Cardiovascular Sciences
M1 - e20240079
ER -