Use of Artificial Intelligence Assistance to Improve Colonoscopy

Artificial intelligence is increasingly embedded in colonoscopy to enhance detection, standardize optical diagnosis, and support quality metrics. Randomized trials show that computer-aided detection raises adenoma detection and lowers miss rates, while real-world gains are smaller and variable. Computer-aided diagnosis can facilitate resect-and-discard and diagnose-and-leave when performance meets American Society of Gastrointestinal Endoscopy (ASGE) Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI) thresholds and is strongest as an adjunct to expert assessment. This article highlights the current evidence base, remaining limitations, and key considerations for clinical adoption.