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Applications of Artificial Intelligence in Echocardiography

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Abstract

Purpose of Review

Echocardiography is an integral component in the diagnosis and management of heart disease. This review focuses on the applications of artificial intelligence in echocardiography.

Recent Findings

Artificial intelligence (AI) and machine learning (ML) applications continue to prove as useful adjuncts in clinical echocardiography. AI has proven useful in echocardiographic assessment of chamber size and function and Doppler measurement.

Similarly, AI applications have demonstrated benefit in the echocardiographic diagnosis of valvular disease and cardiomyopathies as well as predicting outcomes and prognostication. Additionally, recent studies have shown the value of AI in acquisition of limited echocardiographic views with the ability to assist in the training of novices to acquire these images quickly.

Summary

AI is a valuable adjunct in clinical echocardiography with the potential for improving diagnostic efficiency and accuracy, reducing costs, and personalizing cardiac care.

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Reproduced with permission from Nedadur et al. Artificial intelligence for the echocardiographic assessment of valvular heart disease. Heart. 2022 Feb 10:heartjnl-2021–319,725.

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Funding

AN is the recipient of funding from the Brenda and Lance Feis Foundation.

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Authors and Affiliations

  1. Bluhm Cardiovascular Institute, Northwestern University, 676 North Saint Clair St, Suite 600, Chicago, IL, 60611, USA

    Brody Slostad, Amogh Karnik, Vinesh Appadurai & Akhil Narang

  2. School of Medicine, The University of Queensland, St Lucia, QLD, Australia

    Vinesh Appadurai

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  1. Brody Slostad
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  2. Amogh Karnik
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  4. Akhil Narang
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Correspondence to Akhil Narang.

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Slostad, B., Karnik, A., Appadurai, V. et al. Applications of Artificial Intelligence in Echocardiography. Curr Cardiovasc Risk Rep 17, 123–132 (2023). https://doi.org/10.1007/s12170-023-00721-6

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