Digestive Health & Gastroenterology Clinical Trials Update: Week 44, 2026

Published October 30, 2026 — 5 trials covered

By Victor Lafforgue, Founder of TrialsAlert. Blog posts are AI-drafted from ClinicalTrials.gov source data and reviewed by the editorial team. See our editorial policy for details.

Artificial Intelligence to Implement Cost-saving Strategies for Colonoscopy Screening Based on in Vivo Prediction of Polyp Histology

This study is exploring the use of artificial intelligence (AI) during colonoscopy to better identify the types of polyps found in the colon. By accurately predicting polyp characteristics in real time, the AI tool could help doctors decide which polyps need to be biopsied and which do not. For patients, this means fewer unnecessary biopsies and potentially lower costs for colon cancer screening, all while maintaining effective early detection. The trial is currently recruiting 1800 participants in Italy.

The French Gut-colo

This trial combines microbiome analysis and AI to predict colorectal cancer risk in adults aged 50 to 75 who need a colonoscopy. By studying the bacteria in the gut, researchers hope to find specific patterns that indicate a higher chance of cancer or precancerous growths. If successful, this approach could help reduce the number of unnecessary colonoscopies and catch cancer earlier. The study is recruiting 2,500 participants in France.

Biomarkers to Predict and Monitor Response to Infliximab

This completed study looked at blood protein markers to predict how children and teenagers with Crohn's Disease respond to the medication infliximab. The goal was to find markers that indicate who will benefit most from the drug and to monitor its effectiveness over time. For patients, this research may lead to more personalized treatment plans that improve disease control and reduce side effects. The trial enrolled 107 participants at a single U.S. site.

AI-Assisted Differentiation of Autoimmune Pancreatitis and Pancreatic Cancer Using EUS: A Multicenter Ambispective Study

This study is testing an AI tool that analyzes ultrasound images of the pancreas to distinguish between autoimmune pancreatitis and pancreatic cancer. These conditions require very different treatments, so accurate diagnosis is critical. Using AI could reduce unnecessary surgeries and speed up appropriate cancer care. The trial is gathering data from multiple hospitals and will validate the AI model starting in 2026.

Social Software-Based Intelligent Management System for Bowel Preparation

This trial evaluates an AI-assisted system designed to help patients prepare their bowels properly before a colonoscopy. Good bowel preparation is essential for clear visibility during the procedure, which improves the chances of detecting problems early. The study compares this AI-guided approach to standard education methods and is recruiting 740 participants in China.

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