Accurate and Scalable Classification of Colonoscopy Neoplasia using Machine Learning and Natural Language Processing

Exploring foci of: Clinical and Translational Gastroenterology Accurate and Scalable Classification of Colonoscopy Neoplasia using Machine Learning and Natural Language Processing December 2025 • Brendan T. Broderick, Jason D. Greenwood, Douglas W. Mahoney, Kelli N. Burger, Sushil Kumar Garg, Michael B. Wallace, Suryakanth Gurudu, Derek W. Ebn… Introduction: Colorectal cancer (CRC) remains a leading cause of cancer associated death in the United States and colonoscopy the primary screening strategy for prevention. Rates of adenomatous and serrated neoplasia detection are inversely associated with post-colonoscopy CRC. This crucial quality metric depends on accurate ascertainment of colorectal neoplasia findings from both endoscopy and histopathology records. We aimed to assess the feasibility of a random forest machine learning model to rapidly and accur… Open Article Page

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