Lung cancer imaging biomarker development on computed tomography using artificial intelligence

Principal Investigator

Name
Shazia Akbar

Degrees
Ph.D.

Institution
Altis Labs

Position Title
Machine Learning Engineer

Email
shazia@altislabs.com

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-588

Initial CDAS Request Approval
Oct 15, 2019

Title
Lung cancer imaging biomarker development on computed tomography using artificial intelligence

Summary
Altis Labs and UHN are collaborating to develop and validate novel lung cancer imaging biomarkers using deep learning. This project will entail labeling the data to develop detection, segmentation, and classification algorithms. We will explore the potential clinical utility when incorporating algorithms into physician workflow. Our goal is to develop robust algorithms that can be applied in clinical settings to improve patient care and outcomes.

Aims

- develop state-of-the-art nodule detection and classification algorithms
- test algorithms' utility on screening, diagnostic, and staging workflows

Collaborators

Joint Department of Medical Imaging and Quantitative Imaging for Personalized Cancer Medicine, UHN
Research and Development, Altis Labs