Integrating AI into workflow

Principal Investigator

Name
akio iwase

Degrees
PhD

Institution
NucleusHealth

Position Title
VP, Eng and Data Science

Email
akio.iwase@gmail.com

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCOI-542

Initial CDAS Request Approval
Nov 4, 2019

Title
Integrating AI into workflow

Summary
Recent advance in the machine learning and specifically deep learning has been remarkably successful in various image classification problems. We propose to investigate the effectiveness of the deep learning technology for chest x-ray classification. Specifically, deep learning network will be designed and trained using the data and will be used to compare with existing data for its effectiveness. It is further proposed to quantify the effectiveness of various nodule characteristics. Correlation with database will be investigated.
Nvidia provided chest x-ray classification algorithm that PLCO data was used to train and validate.

Aims

The specific aim is to run and verify that performance of the chest x-ray classification algorithms by running with the original data of PLCO.

Collaborators

N/A