Evaluating Artificial Intelligence to Improve Detection of Colorectal Polyps During Colonoscopy in Adults Aged 50 to 65

What this Trial Is About

Colorectal cancer is the second most common cancer in European Union countries. The main way to detect and prevent colorectal cancer is through colonoscopy, which allows doctors to remove precancerous growths called adenomas and serrated polyps. This research aims to assess how using artificial intelligence AI during colonoscopy affects the detection rate of these polyps and early colorectal cancer stages, potentially improving screening quality and reducing cancer risk. Participants are randomly assigned to one of two groups one group undergoes colonoscopy with the support of the ENDO-AID OIP-1 AI system that helps detect polyps by alerting the doctor in real-time, while the other group has colonoscopy without AI assistance. The AI system uses machine learning algorithms to identify suspicious lesions and mark them on the monitor during the procedure. This study compares the detection rates between these two approaches. During the colonoscopy, researchers measure the adenoma detection rate to evaluate effectiveness. They also assess how useful the AI is for both novice and experienced doctors, analyze the shape of detected polyps, and review the costs associated with using AI over about six months. Participants are followed through the procedure, and outcomes are monitored to understand the impact of AI on colonoscopy quality and colorectal cancer prevention.

Artificial Intelligence in Colonoscopy