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Arrhythmic Sudden Death Survival Prediction using Deep Learning Analysis of Scarring in the Heart

Unmet Need:Sudden cardiac death (SCD) is a leading cause of death in western countries, accounting for 15 – 20% of deaths (Kumar, et al. 2021). Currently, the standard for estimating risk for SCD is based on a left ventricular ejection fraction (LVEF) lower than 30-35% (Russo et al, 2013) which captures only 20% of arrhythmic sudden cardiac deaths (SCDA)...

Published: 6/28/2024 | Inventor(s): Natalia Trayanova, Dan Popescu, Mauro Maggioni, Julie Shade

Keywords(s):

Category(s): Clinical and Disease Specializations > Cardiovascular, Clinical and Disease Specializations > Cardiovascular > Arrhythmia, Clinical and Disease Specializations > Cardiovascular > Arrhythmias, Clinical and Disease Specializations > Cardiovascular > Cardiac Arrest, Clinical and Disease Specializations > Cardiovascular > Ventricular Tachycardia, Clinical and Disease Specializations > Cardiovascular > Ventricular Fibrillation, Technology Classifications > Computers, Electronics & Software > Algorithms, Technology Classifications > Computers, Electronics & Software > Artificial Intelligence, Technology Classifications > Computers, Electronics & Software > Image Processing & Analysis, Technology Classifications > Computers, Electronics & Software > Machine Learning

Novel Approach to Predict Atrial Fibrillation (AF) Recurrence after Pulmonary Vein Isolation using Simulations of Patient-Specific MRI Models and Machine Learning

Unmet NeedAtrial fibrillation (AF) is an irregular, rapid heart rate in which the two upper chambers (atria) of the heart beat chaotically and out of sync with the lower chambers (ventricles) of the heart. Ultimately, this condition can increase one’s risk of heart disease, stroke, and other cardiovascular complications. AF is thus regarded as an important...

Published: 6/28/2024 | Inventor(s): Natalia Trayanova, Rheeda Ali, Julie Shade

Keywords(s):

Category(s): Clinical and Disease Specializations > Cardiovascular > Atrial Fibrillation, Technology Classifications > Computers, Electronics & Software > Algorithms, Technology Classifications > Computers, Electronics & Software > Machine Learning