Rate My Professor Declan O’Regan

Professor Declan O’Regan is the British Heart Foundation Chair of Cardiovascular AI and Professor of Cardiovascular AI in the Faculty of Medicine at Imperial College London. He serves as an MRC Investigator and Head of the Computational Cardiac Imaging Group at the MRC Laboratory of Medical Sciences since 2007. O’Regan is also Professor of Imaging Sciences since 2020, Director for Imaging Research at Imperial College Healthcare NHS Trust, and Consultant Radiologist there since 2007. His career includes prior roles as Reader in Imaging Sciences from 2016 to 2020 and Senior Lecturer from 2007 to 2016 at Imperial College London, Specialist Registrar in Clinical Radiology at Hammersmith Hospital NHS Trust from 2000 to 2007, and Senior House Officer in London and the South East from 1998 to 2000. He holds BSc and MBBS degrees from the University of London, DTM&H from the University of Liverpool, and a PhD from Imperial College London, along with postgraduate qualifications FRCP from the Royal College of Physicians and FRCR from the Royal College of Radiologists.

O’Regan’s research specializes in machine learning applications to cardiovascular disease mechanisms, integrating human imaging, genetics, and environmental risk factors. His group develops algorithms predicting survival from cardiac motion and examines complex traits influencing heart failure risk, while collaborating with industry on genotype-phenotype modelling for drug discovery. Funding supports his work from the Medical Research Council, British Heart Foundation, Heart Research UK, National Institutes of Health, Calico Labs, and Bayer AG. He chairs the Publications Committee of the Society for Cardiovascular Magnetic Resonance, previously served on its board, and is a member of the MRC Clinical Training and Career Development Panel and BHF Advisory Council. O’Regan was Associate Editor for European Heart Journal - Cardiovascular Imaging and npg Digital Medicine, and Guest Editor for Circulation. He held Roentgen Travelling Professorship from the Royal College of Radiologists and Rohan Williams Travelling Professorship from the Royal Australian and New Zealand College of Radiologists, delivering international lectures on artificial intelligence in healthcare. Key publications include 'Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study' (Radiology, 2017), 'MulViMotion: Shape-Aware 3D Myocardial Motion Tracking in 2D CMR' (2022), and 'Genotype-Phenotype Taxonomy of Hypertrophic Cardiomyopathy' (Circulation: Genomic and Precision Medicine, 2023).