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