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Artificial Intelligence in Cardiovascular Medicine

  • State-of-the-Art Informatics (J Singh, Section Editor)
  • Published:
Current Treatment Options in Cardiovascular Medicine Aims and scope Submit manuscript

Abstract

Purpose of review

The ripples of artificial intelligence are being felt in various sectors of human life. Machine learning, a subset of artificial intelligence, extracts information from large databases of information and is gaining traction in various fields of cardiology. In this review, we highlight noteworthy examples of machine learning utilization in echocardiography, nuclear cardiology, computed tomography, and magnetic resonance imaging over the past year.

Recent findings

In the past year, machine learning (ML) has expanded its boundaries in cardiology with several positive results. Some studies have integrated clinical and imaging information to further augment the accuracy of these ML algorithms. All the studies mentioned in this review have clearly demonstrated superior results of ML in relation to conventional approaches for identifying obstructions or predicting major adverse events in reference to conventional approaches.

Summary

As the influx of data arriving from gradually evolving technologies in health care and wearable devices continues to be more complex, ML may serve as the bridge to transcend the gap between health care and patients in the future. In order to facilitate a seamless transition between both, a few issues must be resolved for a successful implementation of ML in health care.

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References and Recommended Reading

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

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Author notes

  1. Karthik Seetharam and Sirish Shrestha contributed equally to this work and are joint first authors.

Authors and Affiliations

  1. WVU Heart & Vascular Institute, 1 Medical Center Drive, Morgantown, WV, 26506, USA

    Karthik Seetharam MD, Sirish Shrestha MSc & Partho P. Sengupta MD, DM

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  1. Karthik Seetharam MD
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  2. Sirish Shrestha MSc
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  3. Partho P. Sengupta MD, DM
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Correspondence to Partho P. Sengupta MD, DM.

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Karthik Seetharam and Sirish Shrestha each declare no potential conflicts of interest.

Partho P. Sengupta is a consultant for HeartSciences and Ultromics.

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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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Seetharam, K., Shrestha, S. & Sengupta, P.P. Artificial Intelligence in Cardiovascular Medicine. Curr Treat Options Cardio Med 21, 25 (2019). https://doi.org/10.1007/s11936-019-0728-1

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  • DOI: https://doi.org/10.1007/s11936-019-0728-1

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