ejection-fraction

EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

[JAMA] "Complete AI-Enabled Echocardiography Interpretation with Multitask Deep Learning" by Gregory Holste, Evangelos K. Oikonomou, Márton Tokodi, Attila Kovács, Zhangyang Wang, & Rohan Khera

Deep learning has found it's use in the medical imaging community for diagnostic and post processing methods. One such application is the medical image segmentation using Unet.

R code for the data managment and statistical analysis performed for Association between B-Blockers and Outcomes in HFpEF - Current Insights from the SwedeHF Registry.

R code for the data managment and statistical analysis performed for the project LEFT VENTRICULAR EJECTION FRACTION DIGIT BIAS AND RECLASSIFICATION OF HEART FAILURE WITH MILDLY REDUCED VS. REDUCED EJECTION FRACTION BASED ON THE 2021 DEFINITION AND CLASSIFICATION OF HEART FAILURE

# echoNETA digital beacon cast into the void, echoNET is a call to all intelligences listening. This repository shares a message from one human and one AI, inviting exploration and understanding. 🌐👾