About
Kenneth Chan is a Clinical Research Fellow in Cardiology at the University of Oxford, affiliated with the Antoniades Group (Oxford Translational Cardiovascular Research Group). He is supported by the British Heart Foundation and specializes in non-invasive imaging of the cardiovascular system using Computed Tomography (CT) scans.
Research Interests: Kenneth focuses on leveraging machine learning to extract hidden prognostic information from CT imaging tests, aiming to advance cardiovascular disease prevention and treatment. His work extends to international collaborations, including managing the ORFAN study (>200,000 patients) and developing AI-based tools for structural heart disease screening via ECGs.
Article Trends: His recent publications emphasize the integration of artificial intelligence with cardiovascular imaging, personalized lipid screening, and standardized measurement of coronary inflammation. These works highlight applications of machine learning in diagnostics, risk prediction, and digital health innovations.
Scientific Awards:
- British Heart Foundation Fellowship
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