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The Role of Artificial Intelligence in Echocardiography

  • Echocardiography (JM Gardin and AH Waller, Section Editor)
  • Published:
Current Cardiology Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

Echocardiography is an indispensable tool in diagnostic cardiology and is fundamental to clinical care. Significant advances in cardiovascular imaging technology paralleled by rapid growth in electronic medical records, miniaturized devices, real-time monitoring, and wearable devices using body sensor network technology have led to the development of complex data.

Recent Findings

The intricate nature of these data can be overwhelming and exceed the capabilities of current statistical software. Machine learning (ML), a branch of artificial intelligence (AI), can help health care providers navigate through this complex labyrinth of information and unravel hidden discoveries. Furthermore, ML algorithms can help automate several tasks in echocardiography and clinical care.

Summary

ML can serve as a valuable diagnostic tool for physicians in the field of echocardiography. In addition, it can help expand the capabilities of research and discover alternative pathways in medical management. In this review article, we describe the role of AI and ML in echocardiography.

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Authors and Affiliations

  1. West Virginia University Heart & Vascular Institute, 1 Medical Center Drive, Morgantown, WV, 26506, USA

    Karthik Seetharam, Sameer Raina & Partho P. Sengupta

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  1. Karthik Seetharam
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  2. Sameer Raina
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  3. Partho P. Sengupta
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Correspondence to Partho P. Sengupta.

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Conflict of Interest

Karthik Seetharam and Sameer Raina declare that they have no conflict of interest.

Partho P. Sengupta is a consultant for HeartSciences, Ultromics, and Kencor Health.

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This article does not contain any studies with human or animal subjects performed by any of the authors.

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This article is part of the Topical Collection on Echocardiography

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Seetharam, K., Raina, S. & Sengupta, P.P. The Role of Artificial Intelligence in Echocardiography. Curr Cardiol Rep 22, 99 (2020). https://doi.org/10.1007/s11886-020-01329-7

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  • DOI: https://doi.org/10.1007/s11886-020-01329-7

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