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The Role of Artificial Intelligence in Echocardiography: A Clinical Update

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

Abstract

Purpose of review

In echocardiography, there has been robust development of artificial intelligence (AI) tools for image recognition, automated measurements, image segmentation, and patient prognostication that has created a monumental shift in the study of AI and machine learning models. However, integrating these measurements into complex disease recognition and therapeutic interventions remains challenging. While the tools have been developed, there is a lack of evidence regarding implementing heterogeneous systems for guiding clinical decision-making and therapeutic action.

Recent findings

Newer AI modalities have shown concrete positive data in terms of user-guided image acquisition and processing, precise determination of both basic and advanced quantitative echocardiographic features, and the potential to construct predictive models, all with the possibility of seamless integration into clinical decision support systems.

Summary

AI in echocardiography is a powerful and ever-growing tool with the potential for revolutionary effects on the practice of cardiology. In this review article, we explore the growth of AI and its applications in echocardiography, along with clinical implications and the associated regulatory, legal, and ethical considerations.

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Funding

Dr. Sengupta has received funding support from the National Science Foundation (NSF) Award: 2125872—NRT-HDR: Bridges in Digital Health.

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Authors and Affiliations

  1. Department of Internal Medicine, Rutgers – Robert Wood Johnson Medical School, New Brunswick, NJ, USA

    Daniel Aziz

  2. Division of Cardiology, Rutgers – Robert Wood Johnson Medical School & University Hospital, 1 Robert Wood Johnson Place, New Brunswick, NJ, 08901, USA

    Kameswari Maganti, Naveena Yanamala & Partho Sengupta

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Contributions

D.A. wrote the main manuscript text and prepared figure 1. K.M. revised the main manuscript text and provided figure 2. N.Y. provided resources and information for the main manuscript text and revised the manuscript text. P.S. supervised and functioned as the corresponding author and revised figure 1-2. All authors were integral in the compilation of the manuscript with multiple revisions and finalization of the main manuscript text.

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Correspondence to Partho Sengupta.

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Competing Interest

Dr. Sengupta has served on the Advisory Board of RCE Technologies and holds patents (62/864,771; PCT/US2020/037204; 17/617,465). Dr. Yanamala serves on the Advisory Boards of Research Spark Hub Inc. and Turnkey Learning, LLC/Turnkey Learning TechStart Pvt Ltd., Pittsburgh, PA, USA. The other authors declare that they have no conflict of interest.

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Aziz, D., Maganti, K., Yanamala, N. et al. The Role of Artificial Intelligence in Echocardiography: A Clinical Update. Curr Cardiol Rep 25, 1897–1907 (2023). https://doi.org/10.1007/s11886-023-02005-2

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  • DOI: https://doi.org/10.1007/s11886-023-02005-2

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