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

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

doi:10.1186/s44156-026-00124-4

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

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

Department for Health

University Hospitals of North Midlands NHS Trust
University of Oxford
Royal United Hospitals Bath NHS Foundation Trust
The Leeds Teaching Hospitals NHS Trust
University of Leeds
Cleveland Clinic London
Frimley Health NHS Foundation Trust
Imperial College NHS Healthcare Trust
Barts Health NHS Trust
University College London Hospitals NHS Foundation Trust
IRCCS Istituto Auxologico Italiano
Università di Milano Bicocca
Oxford University Hospitals NHS Foundation Trust
Rutgers Robert Wood Johnson Medical School at New Brunswick

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	26
Number of pages	14
Journal	Echo Research & Practice
Volume	13
Issue number	1
Early online date	20 Jul 2026
DOIs	https://doi.org/10.1186/s44156-026-00124-4
Publication status	E-pub ahead of print - 20 Jul 2026

Data Availability Statement

The data that supports the findings of this manuscript are available from the corresponding author upon reasonable request.

Funding

SB is an ICA Pre-doctoral Clinical and Practitioner Academic Fellow supported by the National Institute for Health and Care Research. The systematic review, which underpins the research literature included within this position statement, was supported by a funding grant obtained from the British Heart Foundation - Clinical Research Collaboration. MFP holds a NIHR Leeds Biomedical Research Centre Postdoctoral fellowship.

Funders
National Institute for Health and Care Research
British Heart Foundation

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Advanced and Specialised Nursing

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10.1186/s44156-026-00124-4Licence: CC BY

Cite this

Bennett, S., Wild, C., Paton, M. F., Victor, K., Khan, S., Kirkham, J., Gaye, G., Peacock, C., Robinson, S., Manisty, C., Muraru, D., Leeson, P., Sengupta, P. P., & Augustine, D. X. (2026). Artificial intelligence in echocardiography: a position statement from the British Society of Echocardiography. Echo Research & Practice, 13(1), Article 26. Advance online publication. https://doi.org/10.1186/s44156-026-00124-4

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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. ",

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AU - Khan, Sitara

AU - Kirkham, John

AU - Gaye, George

AU - Peacock, Claire

AU - Robinson, Shaun

AU - Manisty, Charlotte

AU - Muraru, Denisa

AU - Leeson, Paul

AU - Sengupta, Partho P.

AU - Augustine, Daniel X.

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

Abstract

Data Availability Statement

Funding

ASJC Scopus subject areas

Access to Document

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