Health AI Central
Peer-Reviewed Publication
Lancet Digit Health2027;101042.June 16, 2027Journal Article

Performance of artificial intelligence versus clinician left-ventricular segmentation of cardiac MRI for mortality prediction: a retrospective, multicentre, prognostic study.

George Joy1, Karan Punjabi2, George Searle3, Zaid Abdulelah4, Tuguldur Gantur3, Iain Pierce5, George D Thornton6, Benjamin Meredith6, Hunain Shiwani3, Miles Curtis4, Shane Cashin4, João B Augusto7, Inês Miranda7, Marianna Fontana8, Peter Kellman9, James P Howard10, Matthew Shun-Shin10, Thomas A Treibel6, Charlotte Manisty6, Michele Orini11, Erik B Schelbert12, Alun D Hughes13, James C Moon6, Rhodri H Davies14
1Cardiovascular Clinical Academic Group, City St George's University of London, London, UK; Cardiology Department, St George's Hospital, London, UK.
2Institute of Cardiovascular Science, University College London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, London, UK; Imperial College Healthcare NHS Trust, London, UK.
3Institute of Cardiovascular Science, University College London, London, UK.
4Barts Heart Centre, St Bartholomew's Hospital, London, UK.
5Institute of Cardiovascular Science, University College London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, London, UK; Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK.
6Institute of Cardiovascular Science, University College London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, London, UK.
7Cardiology Department, Hospital Prof Doutor Fernando Fonseca, Amadora, Portugal.
8National Amyloidosis Centre, Royal Free Hospital, London, UK.
9National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MA, USA.
10National Heart and Lung Institute, Imperial College London, London, UK.
11Department of Biomedical Engineering, King's College London, London, UK.
12Minneapolis Heart Institute, United Hospital, Minneapolis, MN, USA.
13Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK.
14Institute of Cardiovascular Science, University College London, London, UK. Electronic address: rhodri.davies@ucl.ac.uk.
PubMed DOI

Abstract

BACKGROUND: Ejection fraction, a key measure of cardiac function, is used in health care for clinical decision making and risk stratification. We hypothesised that a deep-learning artificial intelligence (AI) segmentation of ejection fraction obtained from cardiac MRI (CMR) outperforms expert clinician segmentation for the prediction of all-cause mortality. METHODS: In this retrospective, multice…

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