Applications of Artificial Intelligence in Echocardiography

Brody Slostad, Amogh Karnik, Vinesh Appadurai, Akhil Narang*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)123-132
Number of pages10
JournalCurrent Cardiovascular Risk Reports
Issue number7
StatePublished - Jul 2023


  • Artificial intelligence
  • Automation
  • Deep learning
  • Echocardiography
  • Machine learning

ASJC Scopus subject areas

  • Pharmacology
  • Pharmacology (medical)


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