Deep learning on Screening Data

Principal Investigator

Name
Elliot Smith

Degrees
Ph.D

Institution
Maxwell MRI

Position Title
CTO

Email
elliot@maxwellmri.com

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-328

Initial CDAS Request Approval
Nov 27, 2017

Title
Deep learning on Screening Data

Summary
Utilising collected screening information to develop better predictors through deep learning.

Aims

Determine the applicability of deep learning to automated analysis of data collected during screening.

Collaborators

Paula Tattam, Maxwell MRI
Rebecca Simpson, Maxwell MRI
Matthew Brown, Maxwell MRI

Related Publications

• Advancing Traditional Prostate-specific Antigen Kinetics in the Detection of Prostate Cancer: A Machine Learning Model.
  Perera M, Smith L, Thompson I, Breemer G, Papa N, Patel MI, Swindle P, Smith E
  Eur Urol Focus. 2021 Dec 14 PUBMED
• PSA-based machine learning model improves prostate cancer risk stratification in a screening population.
  Perera M, Mirchandani R, Papa N, Breemer G, Effeindzourou A, Smith L, Swindle P, Smith E
  World J Urol. 2020 Aug 3 PUBMED