AI based lung nodule detection and measurement tool for CT imaging of the chest
Principal Investigator
Name
Mohammed Amro
Institution
Synthesis Health Intelligence Inc.
Position Title
Sr. Machine Learning Manager
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-960
Initial CDAS Request Approval
Sep 28, 2022
Title
AI based lung nodule detection and measurement tool for CT imaging of the chest
Summary
Develop an AI model to automatically detect and measure lung nodules in CT imaging as well as track changes in the nodules over time. It would help reading physicians to detect findings in CT imaging of the chest more sensitively and fast.
Aims
To achieve higher sensitivity than general expert reading physicians with comparable specificity.
To increase speed of reading by providing a tool to automate measurements of nodules and compare those measurements to prior imaging.
Collaborators
Dr. Maura Brown (BC Cancer)
Dr. Montgomery Martin (BC Cancer)