Estimating bladder cancer risk with novel AI models
Principal Investigator
Name
Nicolas Martelin
Degrees
M.B.A., Ph.D.
Institution
Prostperia SAS
Position Title
Managing Director
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1382
Initial CDAS Request Approval
Nov 13, 2023
Title
Estimating bladder cancer risk with novel AI models
Summary
Bladder cancer stands as a prevalent and potentially fatal disease, demanding efficient and precise screening approaches for early identification and treatment. This Artificial Intelligence (AI) project is focused on enhancing the detection of sub-groups of women and men at a higher risk of bladder cancer through the implementation of machine learning algorithms and data analytics.
Aims
- Early Detection: Develop an AI-powered system to find groups of women and men at a higher risk of bladder cancer.
- Reduction of False Positives: Minimize false positives in cancer screening results to avoid unnecessary anxiety and additional confirmatory tests.
- Cost-Efficiency: Enhance cost-effectiveness in healthcare by reducing unnecessary tests and focusing resources on cases with a higher probability of malignancy.
Collaborators
Nicolas Martelin
Benjamin Chen