(Learn more about this study)
Initial CDAS Request Approval
Nov 13, 2023
Estimating bladder cancer risk with novel AI models
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.
- 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.