Evan D. Muse

According to our database, Evan D. Muse authored at least 5 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment.

Federico Mason, Amitabh C. Pandey, Matteo Gadaleta, Eric J. Topol, Evan D. Muse, Giorgio Quer

npj Digit. Medicine, 2024

2022

Impact of polygenic risk communication: an observational mobile application-based coronary artery disease study.

Evan D. Muse, Shang-Fu Chen, Shuchen Liu, Brianna Fernandez, Brian Schrader, Bhuvan Molparia, André Nicolás León, Raymond Lee, Neha Pubbi, Nolan Mejia, Christina Ren, Ahmed El-kalliny, Ernesto Prado Montes de Oca, Héctor Aguilar, Arjun Ghoshal, Raquel Dias, Doug Evans, Kai-Yu Chen, Yunyue Zhang, Nathan E. Wineinger, Emily G. Spencer, Eric J. Topol, Ali Torkamani

npj Digit. Medicine, 2022

2020

Best practices for authors of healthcare-related artificial intelligence manuscripts.

Sujay Kakarmath, Andre Esteva, Rima Arnaout, Hugh Harvey, Santosh Kumar, Evan D. Muse, Feng Dong, Leia Wedlund, Joseph C. Kvedar

npj Digit. Medicine, 2020

2018

From second to hundredth opinion in medicine: A global consultation platform for physicians.

Evan D. Muse, Job G. Godino, Jessa F. Netting, James F. Alexander, Helen J. Moran, Eric J. Topol

npj Digit. Medicine, 2018

Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning.

Mai H. Nguyen, Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Marcus Bobar, Eric D. Carruth, Dylan Uys, Ilkay Altintas, Evan D. Muse, Giorgio Quer, Steven R. Steinhubl

Proceedings of the 14th IEEE International Conference on e-Science, 2018