Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy
A Dokuchaev, T Chumarnaya, A Bazhutina… - Frontiers in …, 2023 - frontiersin.org
Introduction: The 30–50% non-response rate to cardiac resynchronization therapy (CRT)
calls for improved patient selection and optimized pacing lead placement. The study aimed …
calls for improved patient selection and optimized pacing lead placement. The study aimed …
Applied Sciences—Special Issue on Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy
Ongoing developments in computing and data acquisition, along with continuous advances
in medical imaging technology, computational modelling, robotics and visualization have …
in medical imaging technology, computational modelling, robotics and visualization have …
[PDF][PDF] Arsenii Dokuchaev1, Tatiana Chumarnaya1, 2, Anastasia Bazhutina1, 2, Svyatoslav Khamzin1, Viktoria Lebedeva3, Tamara Lyubimtseva1, 3, Stepan Zubarev1 …
Materials and methods: We reviewed retrospective data for 57 CRT recipients. A positive
response was defined as a more than 10% LVEF improvement. Personalized models of …
response was defined as a more than 10% LVEF improvement. Personalized models of …