Computer-Aided Diagnosis of Chest X-Rays

Principal Investigator

Name
Daguang Xu

Degrees
Ph.D.

Institution
NVIDIA

Position Title
Research Manager

Email
daguangx@nvidia.com

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-349

Initial CDAS Request Approval
Mar 2, 2018

Title
Computer-Aided Diagnosis of Chest X-Rays

Summary
Chest X-rays are the most common radiological scan. Effective computer-aided diagnosis tools can serve as a frontline for clinicians, both in developed and developing countries. Our project aims to make this vision a reality, by developing effective clinical tools to improve time and cost efficiency and improve patient outcomes.

Aims

-Use modern deep learning tools to develop and commercialize state of the art computer-aided diagnosis solutions for chest x-rays.
-Measure performance against clinically relevant metrics.
-Positively impact clinical workflows.

Collaborators

NVIDIA