Contact information
Kenneth Chan
Clinical Research Fellow in Cardiology
I am a Clinical Research Fellow in cardiology supported by the British Heart Foundation. My research focuses on non-invasive imaging of the heart, vessels and fat tissue using Computed Tomography (CT) scans. I also manage the international collaboration and analysis of health information from >200,000 patients in the Oxford Risk Factors and Non-Invasive imaging (ORFAN) study. Using machine learning techniques, I aim to extract the hidden prognostic information from routinely performed imaging tests beyond their current diagnostic role, in order to understand, treat and prevent cardiovascular disease.
Recent publications
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Using artificial intelligence to spot heart failure from ECGs: is it prime time?
Antoniades C. and Chan K., (2025), Eur Heart J
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Personalised cardiovascular and lipid screening using machine learning approach.
Chan K. and Sobirov I., (2024), International journal of cardiology, 419
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Differentiating Left Ventricular Remodeling in Aortic Stenosis From Systemic Hypertension.
Mahmod M. et al, (2024), Circ Cardiovasc Imaging, 17
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Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study.
Chan K. et al, (2024), Lancet, 403, 2606 - 2618
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Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature.
Klüner LV. et al, (2024), Atherosclerosis