Skip to main content

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Funded Projects for Artificial Intelligence, Machine Learning, and Deep Learning

Grant Number Project Title Principal Investigator Institution
5-R01-EB031032-04 Non-invasive automated wound analysis via deep learning neural networks Kyle Quinn University of Arkansas at Fayetteville
1-R44-EB030955-01A1 Opening The Black Box: Enhancing Machine Learning Interpretability To Optimize Clinical Response To Sudden Deterioration In COVID-19 Patients Dana Edelson Agilemd, Inc.
1-R01-EB035394-01A1 Optimizing Mobile Photon-Counting CT Image Quality via Deep Learning for Neuro Intensive Care Unit Dufan Wu Massachusetts General Hospital
5-R01-EB022573-08 Personalized Functional Network Modeling to Characterize and Predict Psychopathology in Youth Yong Fan University of Pennsylvania
1-R21-EB034428-01A1 Predicting recovery after TBI: Development and comparison of MR-supplemented models using non-parametric and machine learning multimodal fusion Martin Monti University of California Los Angeles
5-R01-EB030582-04 Quantification of Liver Fibrosis with MRI and Deep Learning Lili He Cincinnati Childrens Hosp Med Ctr
5-R01-EB032896-04 SCH: Leverage clinical knowledge to augment deep learning analysis of breast images Shandong Wu University of Pittsburgh at Pittsburgh
7-R01-EB034116-03 SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate Heng Huang Univ of Maryland, College Park
5-R01-EB021391-08 Shape Analysis Toolbox: From medical images to quantitative insights of anatomy Beatriz Paniagua Kitware, Inc.
5-R01-EB001838-16 Simulation Tools for 3D and 4D CT and Dosimetry William Segars Duke University