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

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, Partho P Sengupta, Daniel X Augustine, Stafford and Stoke on Trent Heart Support Group

Published in

Echo research and practice. Volume 13. Issue 1. Jul 20, 2026. Epub Jul 20, 2026.

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.

PMID:
42472849
Bibliographic data and abstract were imported from PubMed on 20 Jul 2026.

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