Patient management from lung screening to diagnosis
Principal Investigator
Name
Sean Denham
Degrees
BSc
Institution
Canon Medical Research Europe
Position Title
Clinical Researcher
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1102
Initial CDAS Request Approval
Aug 8, 2023
Title
Patient management from lung screening to diagnosis
Summary
An exploration of the use of artificial intelligence and mathematical modelling to improve management of lung cancer screening cases.
The data will be used to analyse real-world cases, develop and apply prototype technologies, then test the success of the technologies. The technologies may include applications, artificial intelligence models, and mathematical models, and may be single- or multi-modal.
The data will be used to analyse real-world cases, develop and apply prototype technologies, then test the success of the technologies. The technologies may include applications, artificial intelligence models, and mathematical models, and may be single- or multi-modal.
Aims
Develop prototype technologies to:
- Reduce time from screening presentation to diagnosis
- Improve standardization of diagnostic pathway
- Reduce physician burden
- Improve communication of results with attending physician
Collaborators
Not applicable at this time