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    Applications of artificial intelligence in echocardiography

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    Author
    Sen, J; Marwick, TH
    Date
    2020-01-01
    Source Title
    Heart and metabolism : management of the coronary patient
    Publisher
    Heart and Metabolism
    University of Melbourne Author/s
    Marwick, Thomas; Sen, Jonathan
    Affiliation
    Collected Works
    Metadata
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    Document Type
    Journal Article
    Citations
    Sen, J. & Marwick, T. H. (2020). Applications of artificial intelligence in echocardiography. Heart and Metabolism, (82), pp.21-28
    Access Status
    Access this item via the Open Access location
    URI
    http://hdl.handle.net/11343/258509
    Open Access URL
    https://www.heartandmetabolism.com/wp-content/uploads/2020/09/heartandmetabolism-82-21.pdf
    Abstract
    Artificial intelligence (AI) is a significant technological advance that underlies many aspects of modern life. Computer-aided detection is increasingly being applied to cardiovascular imaging such as echocardiography. AI improves the accuracy and reliability of echocardiographic measurements, reduces diagnostic errors, and minimizes interobserver variability. Research of, access to, and investment in AI-enhanced echocardiography has the potential to improve the diagnosis of cardiovascular disease (CVD), particularly in regional and remote areas, and allows for prognostication and risk stratification of age-related CV events. This review describes how AI-enhanced echocardiography can lead to improvements in image interpretation and in the diagnosis and prognostication of CVD. It also outlines the challenges precluding widespread adoption of AI tools in echocardiographic practice at the current time.

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