Development and Deployment of Artificial Intelligence (AI) Driven Methods to Enable Chest X-ray Radiography as an Alternative Diagnostic Method for COVID-19 Pneumonia

NIH RePORTER · NIH · U01 · $605,070 · view on reporter.nih.gov ↗

Abstract

ABSTRACT In this competitive revision, within the same scope of developing and deploying algorithms to make a quantum leap in clinical diagnosis as that in our current U01EB021183, we would like to revise the original aims to add a new Aim to leverage our expertise in the areas of algorithm development and clinical translation to make immediate contributions to combat the COVID-19 pandemic. Specifically, we propose to develop and deploy artificial intelligence (AI) methods to enable chest x-ray radiography (CXR) as an alternative diagnostic tool to diagnose COVID-19 pneumonia, to rapidly triage patients for appropriate treatment, to monitor the treatment response in a contained environment, and to optimize the distribution of the limited medical resources during the current COVID-19 crisis.

Key facts

NIH application ID
10156179
Project number
3U01EB021183-04S1
Recipient
UNIVERSITY OF WISCONSIN-MADISON
Principal Investigator
Guang-Hong Chen
Activity code
U01
Funding institute
NIH
Fiscal year
2020
Award amount
$605,070
Award type
3
Project period
2020-07-21 → 2022-07-20