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
1-F31-EB035931-01A1 Interpretable Real-Time Surgical Skill Assessment Via Optical Neuroimaging Condell Eastmond Rensselaer Polytechnic Institute
5-R21-EB033455-03 Knowledge-informed Deep Learning for Apnea Detection with Limited Annotations Xiaochen Xian University of Florida
1-R21-EB030294-01A1 Machine learning approach to non-invasive MRI-based blood oximetry Juliet Varghese Ohio State University
5-R21-EB030762-02 Machine Learning-Based Adaptation of Data Sampling and Reconstruction for Efficient Dynamic MRI Saiprasad Ravishankar Michigan State University
4-R00-EB033857-03 Machine Learning-enabled Classification of Extracellular Vesicles Using Nanoplasmonic Microfluidics Colin Hisey Northwestern University
5-R01-EB033788-02 Maternal mHealth blood hemoglobin analysis with informed deep learning Young Kim Purdue University
5-R01-EB029944-04 MRI and Deep Learning for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants Lili He Cincinnati Childrens Hosp Med Ctr
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