The US Food and Drug Administration (FDA) granted de novo clearance for the GI Genius™ intelligent endoscopy module in the United States, developed by Medtronic in partnership with Cosmo Pharmaceuticals. The GI Genius module is the first and only commercially available artificial intelligence (AI)-based computer-aided detection (CADe) method for detecting colorectal polyps. The module, which works with any colonoscope video, gives doctors a new tool to combat colorectal cancer, the third most common cancer worldwide, with 1.8 million new cases in 2018. Adenomas discovered during colonoscopy are a critical consistency indicator. The addition of AI to colonoscopies can improve the quality of the procedure, potentially resulting in better diagnosis and outcomes for colon cancer patients.

Strategic Alignment

Highly trained gastroenterologists use colonoscopies to detect polyps and lesions that may develop into cancer. We can use GI Genius to tap into the power of artificial intelligence to improve detection rates. According to studies, having a second observer will improve polyp detection rates and reduce the risk of colorectal cancer by 3% for every 1% rise in adenoma detection rate (ADR). As compared to colonoscopy alone, the GI Genius module has shown a 14 percent absolute improvement in ADR for both flats (42 percent increase) and polyploid (36 percent increase) lesions, improving precision and reducing the risk of interval cancers between colonoscopies.

Immediate Impact

This significant advancement aids in our goal of detecting colon cancer early and improving patient outcomes. The module employs sophisticated artificial intelligence to highlight the existence of precancerous lesions in real-time with a visual marker, acting as a constant second observer. It uses sophisticated algorithms to analyze images and detect and mark anomalies associated with polyps, including tiny flat polyps that would otherwise go undetected by the naked eye. It is expected that integrating AI technology into the colonoscopy market would increase detection rates and reduce variability in patient outcomes.

Budding Growth Opportunities for End-Users

This technology has the ability to transform healthcare by assisting healthcare providers more effectively and improving patient care. When AI is used in conjunction with conventional screening or monitoring techniques, it may detect issues sooner when they are easier to handle. This can be used in diagnostic centers, hospitals, and gastrointestinal research labs as well. It can be used for routine screenings, which are the key to detecting early-stage colon cancer. Colonoscopy is also the gold standard for detecting diseases in the colon mucosa, such as cancer, adenomas, or inflammation. Owing to the ability to interfere and sample or remove pathology encountered, it is still preferred over other imaging modalities such as computed tomography (CT) colonography or barium enema in certain cases.

Potential Advancements for Peer Markets

Artificial intelligence in gastroenterology ushers in a new age of diagnostic endoscopy with the potential to increase colonoscopies’ accuracy. Can offer new solutions for promoting prevention, early diagnosis of life-threatening illnesses, and treatment of chronic conditions outside of conventional care settings and can enable customers to make better-informed choices about their own health. Some of the most popular examples include mobile health apps, telehealth, and artificial intelligence. Even though digital health intersects with endoscopy, most of its applications can have a wider effect.

Shifting Industry Trends

During the forecast period, the colonoscope segment is expected to dominate the global colonoscopy devices market. Colonoscopy’s associated advantages over other treatment options, such as enhanced precision, accuracy, and treatment protection, are expected to drive up demand. As the demand grows, companies are attempting to differentiate their colonoscopy devices based on their intended use. Various consumer groups turn toward optimized visualization systems that incorporate colonoscopes and cameras due to the demands of high-quality imaging and operative capabilities.