Abstract
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 language | English (US) |
|---|---|
| Pages (from-to) | 123-132 |
| Number of pages | 10 |
| Journal | Current Cardiovascular Risk Reports |
| Volume | 17 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2023 |
Funding
AN is the recipient of funding from the Brenda and Lance Feis Foundation.
Keywords
- Artificial intelligence
- Automation
- Deep learning
- Echocardiography
- Machine learning
ASJC Scopus subject areas
- Pharmacology
- Pharmacology (medical)
