Artificial intelligence-enhanced electrocardiography for the prediction of future type 2 diabetes mellitus: a model-development and multicentre validation study.

Libor Pastika^1,2,3, Konstantinos Patlatzoglou¹, Ewa Sieliwonczyk^1,4, Joseph Barker¹, Boroumand Zeidaabadi¹, Kathryn A McGurk^1,4, Sandhi M Barreto⁵, Lidyane Camelo⁵, Sadia Khan^1,3, William R Scott^4,6, Declan P O'Regan⁴, Bruce B Duncan⁷, Maria I Schmidt⁷, James S Ware^1,4, Shivani Misra^8,9, Daniel B Kramer^1,10, Jonathan W Waks¹¹, Nicholas S Peters^1,2, Antonio Luiz Pinho Ribeiro¹², Arunashis Sau^1,2, Fu Siong Ng^1,2,3

¹National Heart and Lung Institute, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, UK.

²Department of Cardiology, Imperial College Healthcare NHS Trust, Hammersmith Hospital, Du Cane Road, London W12 0NN, UK.

³Chelsea and Westminster Hospital NHS Foundation Trust, 369 Fulham Road, London SW10 9NH, UK.

⁴MRC Laboratory of Medical Sciences, Imperial College London, London, UK.

⁵Department of Preventive Medicine, School of Medicine & Hospital das Clínicas/Empresa Brasileira de Serviços Hospitalares, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

⁶Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK.

⁷Postgraduate Program in Epidemiology and Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.

⁸Division of Metabolism, Digestion & Reproduction, Imperial College London, London, UK.

⁹Department of Diabetes & Endocrinology, Imperial College Healthcare NHS Trust, London, UK.

¹⁰Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA USA.

¹¹Harvard-Thorndike Electrophysiology Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

¹²Department of Internal Medicine, Faculdade de Medicina, and Telehealth Center and Cardiology Service, Hospital das Clínicas (A.L.P.R.), Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

PubMed PMC DOI PDF

Abstract

AIMS: A significant proportion of type 2 diabetes cases remain undiagnosed despite screening advances, carrying substantial cardiometabolic risk. Artificial intelligence-enhanced electrocardiography (AI-ECG) detects subtle ECG changes in subclinical disease, potentially enabling opportunistic screening. METHODS AND RESULTS: We developed AI-ECG Risk Estimator for Diabetes Mellitus (AIRE-DM), a con…

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