AI technology for colon cancer detection shows promise for widespread use

By Published On: March 20, 2025
AI technology for colon cancer detection shows promise for widespread use

Artificial intelligence-assisted technology helps identify colorectal polyps, a rigorous review of evidence from the US has found.

The American Gastroenterological Association (AGA) has now released a new clinical guideline making no recommendation — for or against — the use of computer-aided detection systems (CADe) in colonoscopy based on the research.

Colonoscopy is an effective tool for detecting and preventing colorectal cancer.

Computer-aided detection systems (CADe) have been shown to improve polyp detection rates, but whether that translates to reduced cancer cases is as yet unknown.

“We are confident that using AI will lead to more polyps removed and more colonoscopies,” said guideline author Benjamin Lebwohl, MD, AGAF, who said he encouraged his institution to adopt the technology.

“We’re less sure about the extent to which it will lead to less colon cancer. AI-assisted colonoscopy technology is promising and exciting.

“It’s reasonable for practitioners to use the tech now, but we’re not yet at a point where we can recommend universal adoption.”

With a growing number of studies evaluating the impact of AI-driven polyp detection, AGA is the first gastroenterological society in the U.S. to tackle an AI guideline for polyp detection.

Data were evaluated using the rigorous GRADE process, and the final recommendation reflects significant input from GIs in community and academic practices.

The guideline highlights key knowledge gaps that future studies need to address.

Currently, CADe systems predominantly drive up the detection of low-risk polyps, which may result in more frequent and costly follow-up colonoscopies with uncertain benefits in preventing cancer, guideline authors said.

Widespread adoption could also strain resources, limiting access for high-risk patients who need colonoscopies most.

“If AI is going to be impactful, it needs to be better than the human eye,” said guideline author Shahnaz Sultan, MD, MHSc, AGAF.

“Right now, AI is detecting easy-to-detect lesions.

“This is version 1.0. Before we can recommend everyone use AI, we need version 4.0, where it helps detect polyps that are truly difficult to find.”

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