معرفی
Mark Elliott is a researcher at King's College London's School of Biomedical Engineering and Imaging Sciences, specializing in cardiac resynchronization therapy, medical imaging, and machine learning applications in cardiology. His work focuses on improving transvenous lead extraction risk prediction through imaging biomarkers and computational modeling.
Research Interests: Cardiac resynchronization therapy, endocardial pacing, myocardial conduction, and AI-driven medical imaging analysis.
Recent Publications demonstrate expertise in integrating machine learning with chest radiography analysis for lead extraction risk prediction, comparative studies of pacing techniques, and computational modeling for cardiac device implantation.
۰مقاله منتشرشده
