Brandon K. Fornwalt

Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration

Mohammad R. Arbabshirani, Brandon K. Fornwalt, Gino Mongelluzzo et al. · npj Digital Medicine · 2018 · 443 citations · Full text

Medicine, Health Informatics, Radiology +17

Agreement Is Poor Among Current Criteria Used to Define Response to Cardiac Resynchronization Therapy

Brandon K. Fornwalt, William W. Sprague, Patrick E. BeDell et al. · Circulation · 2010 · 304 citations

Medicine, Cardiology, Cardiothoracic Surgery +9

Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation–Related Stroke

Sushravya Raghunath, John M. Pfeifer, Alvaro Ulloa et al. · Circulation · 2021 · 302 citations · Full text

Medicine, Biomedical Engineering, Cardiology +17

Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network

Sushravya Raghunath, Alvaro Ulloa, Linyuan Jing et al. · Nature Medicine · 2020 · 300 citations

Computing, Cardiology, Computer Science +14

Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie?

Gregory J Wehner, Linyuan Jing, Christopher M. Haggerty et al. · European Heart Journal · 2019 · 290 citations · Full text

Medicine, Cardiology, Internal Medicine +14