Dr. Tokodi is a PhD fellow at the Heart and Vascular Center of Semmelweis University. His major research interests include cardiovascular imaging, machine learning, and data analytics. Using state-of-the-art data analytic approaches, he seeks answers to various clinical questions in the field of cardiology. He has published his works in top cardiology journals and he was selected multiple times as a finalist in Young Investigator Award competitions.
Tokodi M, Shrestha S, Bianco C, et al. Interpatient Similarities in Cardiac Function: A Platform for Personalized Cardiovascular Medicine. JACC Cardiovasc Imaging. 2020;13(5):1119-1132. doi:10.1016/j.jcmg.2019.12.018
Tokodi M, Schwertner WR, Kovács A, et al. Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score. Eur Heart J. 2020;41(18):1747-1756. doi:10.1093/eurheartj/ehz902
Tokodi M, Németh E, Lakatos BK, et al. Right ventricular mechanical pattern in patients undergoing mitral valve surgery: a predictor of post-operative dysfunction?. ESC Heart Fail. 2020;7(3):1246-1256. doi:10.1002/ehf2.12682
