AI Predicts Colorectal Cancer Risk for Ulcerative Colitis Patients

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Researchers have developed an AI-powered tool that can accurately predict colorectal cancer risk for individuals with ulcerative colitis (UC), a condition that significantly increases the risk of this type of cancer. The AI workflow analyzes clinical data and biomarkers to generate personalized risk scores, potentially reducing unnecessary colonoscopies for low-risk patients and accelerating care for those at higher risk.

Why it matters

Traditionally, assessing colorectal cancer risk in UC patients has relied on subjective clinical assessments, leading to inconsistent recommendations. This new AI-driven approach promises to provide more objective, data-driven risk stratification, empowering doctors to personalize screening and treatment plans for their patients.

The details

The AI tool, developed by researchers at UC San Diego, was able to accurately categorize approximately half of UC patients with low-grade dysplasia (LGD) as low-risk, with a 99% chance of remaining cancer-free for two years. This level of confidence could significantly reduce the burden of unnecessary colonoscopies. The AI also identified patients with unresectable visible lesions as being at higher risk than previously estimated, suggesting the need for more aggressive intervention in these cases.

• The recent study was led by researchers at UC San Diego and published in February 2026.

What they’re saying

What’s next

Researchers are focused on validating the AI tool in diverse patient populations beyond the VA system and incorporating emerging risk factors, as well as patient genetic information, to further improve the accuracy of the risk predictions.