AI is transforming colorectal cancer screening across the entire care continuum—from early risk assessment to real-time lesion detection and post-procedure follow-up.
This review highlights how AI-powered colonoscopy systems are already improving adenoma detection rates, reducing inter-operator variability, and addressing one of screening’s biggest gaps: missed lesions. Beyond the procedure room, AI models are advancing blood- and stool-based screening, imaging analysis, and personalized risk stratification, with the potential to shift screening from age-based protocols to data-driven precision strategies. At the same time, the article underscores the hurdles that must be addressed for widespread adoption, including clinical validation, bias across populations, regulatory oversight, and seamless integration into GI workflows—positioning AI not as a futuristic add-on, but as a foundational layer in the next era of colorectal cancer prevention.