The Role of Artificial Intelligence in Echocardiography

Abstract

Echocardiography is an integral part of the diagnosis and management of cardiovascular disease. The use and application of artificial intelligence (AI) is a rapidly expanding field in medicine to improve consistency and reduce interobserver variability. AI can be successfully applied to echocardiography in addressing variance during image acquisition and interpretation. Furthermore, AI and machine learning can aid in the diagnosis and management of cardiovascular disease. In the realm of echocardiography, accurate interpretation is largely dependent on the subjective knowledge of the operator. Echocardiography is burdened by the high dependence on the level of experience of the operator, to a greater extent than other imaging modalities like computed tomography, nuclear imaging, and magnetic resonance imaging. AI technologies offer new opportunities for echocardiography to produce accurate, automated, and more consistent interpretations. This review discusses machine learning as a subfield within AI in relation to image interpretation and how machine learning can improve the diagnostic performance of echocardiography. This review also explores the published literature outlining the value of AI and its potential to improve patient care.

Closing the Last Mile Gap in Access to Multimodality Imaging in Rural Settings: Design of the Imaging Core of the Risk Underlying Rural Areas Longitudinal Study

“…Several studies have shown how the use of AI Echo can minimize the known limitations of these approaches. 40–42,44,47,50,51…”

“…Several studies have shown how the use of AI Echo can minimize the known limitations of these approaches. [40][41][42]44,47,50,51 An encoder-decoder-based convoluted neural network DL software was used by Leclerc et al 40 to analyze 500 echocardiogram images to measure LVEF using apical 4-and 2-chamber views. The software outperformed non-DL methods and was more consistent than the observed interobserver variability.…”

Role of artificial intelligence in cardiology

“…In the field of imaging, the progress of AI has been enormous in the last years, affecting all the phases of the diagnostic process. The advances have been bigger in the field of computed tomography imaging or magnetic resonance imaging[ 11 ], but the next step is echocardiography to generalize the value of AI in imaging[ 12 ], as shown in the review of Barry et al [ 11 ].…”

Inteligência artificial aplicada na detecção e segmentação automática de estruturas cardíacas em imagens ecocardiográficas

“…A AAIE pode apresentar limitações na interpretação de certos aspectos da imagem, como a avaliação da função valvular e a detecção de pequenas alterações no movimento da parede cardíaca (BARRY et al, 2023).…”