Undergoing a Colonoscopy Soon? Consider Using an AI Copilot as Your Guide
Colon cancer often calls for prompt screening, and one method for this is through colonoscopies, where physicians inspect your colon for precancerous growths using a camera. Regrettably, some doctors might not be as thorough as they ought to be, overlooking growths that need removal. With this in mind, it might be worth considering whether your doctor could benefit from AI assistance during this procedure.
Imagine you're selecting between two physicians to perform your colonoscopy, both of whom assure you that pre-cancers are rare. The first doc informs you that they discover precancerous growths in their patients only 10% of the time. Meanwhile, the second physician reports discovering these growths in "patients like you" 30% of the time. All things considered, the second physician would likely be your best bet. It might seem counterintuitive that the physician who discovers precancerous growths more frequently is the superior choice, but this could indicate that the more thorough physician is likely to miss fewer growths than their less-thorough counterpart.
This brings us to the role of AI in colonoscopies. Physicians who find fewer growths during colonoscopies are more likely to be overlooking precancerous polyps. Policymakers ought to consider creating quality metrics to identify such physicians, and providing patients with polyp detection rates so they can make informed choices.
But aside from relying on policymakers, what can patients do? Ask your doctor if they utilize AI during colonoscopies. Studies from both Italy and the United States demonstrate a significant increase in polyp detection when physicians employ AI assistance. This process involves having a computer scan the camera images in real-time, highlighting suspicious areas for the physician to examine more closely. AI assistance during colonoscopies can significantly impact polyp detection rates and reduce the potential risk of post-colonoscopy colorectal cancer (PCCRC).

A particular AI-powered technology, GI Genius™, reduces the likelihood of missed polyps during routine colonoscopies by up to 50%. Furthermore, a randomized control trial showed that AI-assisted colonoscopies significantly elevated Adenoma Detection Rates (ADR) by 9.7%. Studies employing deep learning models like YOLOv11 for polyp detection in colonoscopy images have demonstrated impressive accuracy and sensitivity in detecting polyps.
By integrating AI into endoscopic surveillance protocols, the detection of non-neoplastic lesions improves, and patients' outcomes are enhanced by reducing the risk of missed polyps and subsequent colorectal cancer. Whether it's for improved polyp detection, enhanced early detection, or reduced risk of post-colonoscopy colorectal cancer, AI assistance during colonoscopies can be a valuable tool in preventing and treating colon cancer.
In light of the discussion on polyp detection rates, requesting your doctor to use artificial intelligence during your colonoscopy could potentially increase the detection of precancerous polyps, such as colon polyps. According to studies from Italy and the United States, AI assistance during colonoscopies has led to a significant boost in polyp detection, thereby lowering the risk of post-colonoscopy colorectal cancer.
The GI Genius™, an AI-powered technology, can minimize the likelihood of missed polyps during routine colonoscopies by up to 50%, significantly improving patients' outcomes and reducing the risk of subsequent colorectal cancer.