WP 1: Establishing long-term effectiveness
Aim: To establish the value of AI-assisted colonoscopy in colorectal cancer prevention by conducting a pan-European, population-based, randomised trial with 222,000 participants.
WP 2: AI tool to identify cancer risk
Aim: To develop a colonoscopy AI risk-prediction tool for personalised treatment of colorectal polyps and cancer.
WP 3: Cost-effectiveness modelling
Aim: To develop cost-effectiveness models of AI-assisted colonoscopy in colorectal cancer screening.
WP 4: Addressing ethical/legal concerns
Aim: To investigate ethical and legal barriers in AI development and implementation.
WP 5: Trustworthy and living guideline
Aim: To generate the first trustworthy and rapidly updating clinical guidelines (living guidelines) for AI in screening colonoscopy.
WP 6: Dissemination and exploitation
Aim: To develop a patient-oriented AI tool by including end-users in the process of AI development and communication.
WP 7: Communication activities
Aim: To maximise project impact by communication activities directed to the general European population, media, government entities, and patient representatives.
WP 8: Project management
Aim: To appropriately manage the OperA project to facilitate high impact on science, economy, society, and people’s lives.