Published in:
Open Access
04-05-2024 | Echocardiography | Review
Broadening Perspectives of Artificial Intelligence in Echocardiography
Authors:
Karthik Seetharam, Harshith Thyagaturu, Gabriel Lora Ferreira, Aditya Patel, Chinmay Patel, Asim Elahi, Roman Pachulski, Jilan Shah, Parvez Mir, Arunita Thodimela, Manya Pala, Zeyar Thet, Yasmin Hamirani
Published in:
Cardiology and Therapy
|
Issue 2/2024
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Abstract
Echocardiography frequently serves as the first-line treatment of diagnostic imaging for several pathological entities in cardiology. Artificial intelligence (AI) has been growing substantially in information technology and various commercial industries. Machine learning (ML), a branch of AI, has been shown to expand the capabilities and potential of echocardiography. ML algorithms expand the field of echocardiography by automated assessment of the ejection fraction and left ventricular function, integrating novel approaches such as speckle tracking or tissue Doppler echocardiography or vector flow mapping, improved phenotyping, distinguishing between cardiac conditions, and incorporating information from mobile health and genomics. In this review article, we assess the impact of AI and ML in echocardiography.