AI Steps Up to Bridge Quality Gaps in Combined GI Procedures

For many patients, undergoing an upper and lower gastrointestinal (GI) endoscopy feels like a single procedure. In reality, it’s two distinct exams-an esophagogastroduodenoscopy (EGD) for the upper tract followed by a colonoscopy for the lower. The appeal is clear: one preparation, one sedation event, and less time away from work or family. This consolidation is becoming increasingly important as health systems face a projected shortage of nearly 1,400 gastroenterologists by 2037.

But while combined GI endoscopies are often driven by the colonoscopy-patients typically come in for colorectal cancer screening and have the upper GI exam added on-the quality standards for these procedures differ significantly. The lower GI has decades of established quality infrastructure, with standardized metrics and a proven track record with AI-assisted detection. Upper GI care, however, lags behind.

Bridging the Quality Gap

When a procedure is treated as secondary rather than primary, its quality can suffer. This is particularly true for upper GI endoscopies, where the clinical task is more complex. Unlike colonoscopy, which focuses on finding polyps on a relatively uniform surface, an EGD requires ensuring complete coverage of a landscape filled with folds, recesses, and anatomical landmarks.

The stakes are high. A 2014 study found that in 69% of upper GI endoscopies, areas were missed, potentially leading to undiagnosed conditions. This gap in scrutiny has real-world consequences for patient outcomes, making it crucial to address the quality standards for upper GI care.

AI is emerging as a key tool to bridge this gap. In lower GI procedures, AI has already demonstrated significant benefits. A 2024 meta-analysis of 28 randomized controlled trials involving nearly 24,000 patients found that AI-assisted colonoscopy increased the adenoma detection rate by 20% and decreased the adenoma miss rate by 55%. These results highlight the potential for AI to enhance the precision and thoroughness of upper GI endoscopies as well.

St. Nicholas Hospital, for example, has implemented high-definition (HD) endoscopy services that are both comfortable and patient-centered. Their approach ensures that specialists can detect early changes, including polyps, with greater accuracy. This level of detail is crucial for ensuring comprehensive coverage during an upper GI exam.

What Comes Next

As AI continues to evolve, its integration into upper GI procedures will become increasingly important. The technology can help clinicians navigate the complex anatomy of the upper GI tract more effectively, reducing the risk of missed areas and improving overall patient outcomes.

The European Society of Gastrointestinal Endoscopy (ESGE) has also recognized the potential of AI in enhancing endoscopic procedures. They recently published a "Gut Guide" that includes innovative tools like video capsule endoscopy, where patients swallow a pill-sized capsule with cameras to capture detailed images of the digestive tract. This non-invasive approach can complement traditional endoscopies and provide additional insights.

For health systems and clinicians, the challenge is clear: ensuring that combined GI procedures meet high-quality standards for both upper and lower tracts. AI offers a promising solution, but its successful integration will require ongoing research, training, and investment.

As we move forward, it’s essential to prioritize patient outcomes and address the quality gap in upper GI care. By leveraging AI and other innovative technologies, we can make combined GI procedures not only more convenient for patients but also safer and more effective.