Artificial intelligence in echocardiography: a position statement from the British Society of Echocardiography

Read full text
Authors: Sadie Bennett, Christopher Wild, Maria F. Paton, Kelly Victor, Sitara Khan, John Kirkham, George Gaye, Claire Peacock, Shaun Robinson, Charlotte Manisty, Denisa Muraru, Paul Leeson
+3 more Partho P. Sengupta, Daniel X. Augustine, On behalf of Stafford and Stoke on Trent Heart Support Group
Cited by: 1
References: 75

Abstract

Echocardiography is a foundational imaging modality for assessing cardiac structure and function, with a long history of technological advancement. As artificial intelligence (AI) becomes increasingly embedded across healthcare, its potential to enhance the echocardiography workflow, from image acquisition and analysis to reporting and risk stratification, has expanded rapidly. Research activity in this field has grown substantially, yet clinical adoption remains variable and often limited by practical, technical, and governance challenges. In response, the British Society of Echocardiography has developed this position statement to provide a structured, consensus‑driven evaluation of the opportunities, limitations, and requirements for the safe, equitable, and effective integration of AI into echocardiography services. Although centred on the UK context, the principles outlined may be relevant to other healthcare systems with similar models of echocardiography delivery.

Fields of Study & Subjects

Cardiovascular Function and Risk Factors Ultrasound in Clinical Applications Phonocardiography and Auscultation Techniques

Publication details

Journal / source
Echo Research and Practice
Publisher
Springer Science and Business Media LLC
Volume
13
Issue
1
Publication date
19 July 2026
Language
EN