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NLP and Machine Vision for Development of Predictive Models to Determine Lung Cancer Risk on Basis of CT Images and Social History.

Principal Investigator
Name
Joey Bargo
Degrees
M.D.
Institution
MedMyne
Position Title
Dr
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-350
Initial CDAS Request Approval
Sep 19, 2017
Title
NLP and Machine Vision for Development of Predictive Models to Determine Lung Cancer Risk on Basis of CT Images and Social History.
Summary
Team of NLP and ML engineers will use all available imaging and clinical NLST data to train predictive models that will be used to determine risk of malignancy. Team will consist of computer scientists and board trained radiologists that will participate in guiding the clinical approach as well validation.
Aims

1) determine efficiency and accuracy of machine vision and NLP neural net models in determination of risk of findings on CT coupled with associated clinical and social data, representing malignancy.

Collaborators

Joey Bargo, M.D. MedMyne