Jacobson, Brian C

Serrated polyposis syndrome (SPS) is the most common polyposis syndrome, yet SPS often goes unrecognized. SPS diagnosis is based on clinical criteria established by the World Health Organization and includes the size, cumulative lifetime number, and location of serrated polyps throughout the colon. Individuals with SPS have an increased risk of prevalent and incident colorectal cancer (CRC). Meticulous inspection, clearing of the colon and frequent surveillance colonoscopy is recommended to decrease incident CRC. Colorectal surgery is indicated for individuals diagnosed with cancer or whose polyp burden cannot be managed endoscopically by expert endoscopists. There is no common germline pathogenic variant associated with SPS. Germline genetic testing is indicated only in individuals who meet criteria for a known hereditary syndrome in the appropriate clinical setting. First-degree relatives of patients with SPS are at heightened risk of CRC and should undergo colonoscopic screening.

INTRODUCTION: The American College of Gastroenterology assembled a multidisciplinary task force to evaluate the current state and future direction of artificial intelligence (AI) in gastroenterology, hepatology, and endoscopy leading to the development of consensus-based recommendations for responsible AI integration in clinical practice. METHODS: A total of 32 subject-matter experts and 12 industry partners, representing diverse practice settings and expertise, conducted subgroup literature reviews across 5 key areas (endoscopy, practice management clinical applications, training and education, inflammatory bowel disease and liver disease, ethics and equity). Draft statements were developed and rated on a 5-point Likert scale using a modified Delphi process. A consensus was set at ≥70% combined agreement. Nonconsensus items were revised and revoted electronically. RESULTS: A total of 43 statements, 40 (93%) reached consensus in round 1 and the remaining 3 achieved consensus after round 2. Evidence supports computer-aided detection improving adenoma detection rate and miss rate in controlled studies, with mixed real-world impact and insufficient long-term outcomes (e.g., interval colon cancer rate). Recommendations emphasize thorough validation and reduction of bias by heterogeneous Data sets. Outside endoscopy, ambient AI scribes, natural language processing (NLP)-enabled coding, workflow optimization, and previous authorization support show potential. Training recommendations endorse a structured AI curriculum while preserving independent procedural competence to avoid deskilling. In inflammatory bowel disease and hepatology, AI could help improve diagnostic accuracy, help predict risk of disease progression, and help guide therapy. Equity, governance, and reimbursement statements call for chain-of-custody data protections, specialty-society oversight, and payment models that reward quality and cost reduction. DISCUSSION: This consensus outlines how AI can augment rather than replace clinical expertise while promoting safety, transparency, interoperability, and equity. Priorities include pragmatic and prospective trials, multi-institutional data-sharing consortia, bias mitigation, and workforce training to enable trustworthy and clinically impactful AI adoption in gastroenterology, liver, and endoscopy care.