Andy Swift

Professor Andy Swift is a Professor of Cardiothoracic Radiology at the University of Sheffield's School of Medicine and Population Health. He specializes in clinical applications of novel imaging techniques, particularly MRI, for pulmonary and cardiac diseases. His research focuses on leveraging machine learning for disease assessment and prognosis in pulmonary hypertension. Dr. Swift has held roles including NIHR Cardiovascular Clinical Fellow and Wellcome Trust Clinical Career Development Fellow.

Education: MBChB from University of Sheffield (2003), followed by radiology training in Hull. He completed a PhD on MRI in Pulmonary Hypertension via NIHR Biomedical Research Fellowship.

Research Interests: Machine learning in medicine, MRI as a diagnostic/prognostic tool (e.g., DITCH, INSITGATE projects), chronic thromboembolic pulmonary hypertension, and imaging biomarkers for genetic variants (COHORT study). Current projects include AI-driven lung parenchymal analysis and CMR-derived hemodynamic metrics.

Key Contributions: Over 150 peer-reviewed articles on pulmonary hypertension imaging, including seminal work on CMR prognostic models and CT-derived risk stratification. Collaborates internationally on trials like REPAIR, evaluating therapies and imaging endpoints in PAH.

Facilities: Based at University MRI Unit, Royal Hallamshire Hospital. Engages in multi-disciplinary teams for translational research, bridging radiology, cardiology, and computational science.