[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-349408-105":3,"detail-sidebar-cat-0-en-105":80,"doc-detail-349408-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":73,"head_meta":75,"extra_data":77,"updated_unix":79},105,"en","gastrointestinal-tract-polyp-detection-tracking-and-surveillance-and-the-role-of-artificial-intelligence","Gastrointestinal Tract Polyp Detection, Tracking, and Surveillance and the Role of Artificial Intelligence","","Colorectal cancer remains a leading cause of cancer-related death in the United States, and colonoscopy supports screening by detecting and removing pre-cancerous lesions. Risk-stratified surveillance depends on factors such as family history, hereditary conditions, and prior colonoscopy findings including polyp number, size, and histology. While endoscopic resection is preferred when feasible, advanced lesions may require surgery. Despite skilled practice, lesions can be missed, motivating AI tools to improve polyp detection, procedural quality, cancer prevention, and cost-effective patient outcomes.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/healthcare/","Healthcare",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/gastrointestinal-tract-polyp-detection-tracking-and-surveillance-and-the-role-of-artificial-intelligence/349408/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/gastrointestinal-tract-polyp-detection-tracking-and-surveillance-and-the-role-of-artificial-intelligence/349408.png","ImageObject",300,407,{"name":42,"@type":43},"Ben ","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-09-25","2026-09-22",true,{"@type":52,"interactionType":53,"userInteractionCount":30},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"Why is colonoscopy central to colorectal cancer screening and prevention?","Question",{"text":62,"@type":63},"Colonoscopy enables early detection and removal of pre-cancerous lesions, reducing the chance that polyps progress to malignancy.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"Which patient and polyp factors guide screening and surveillance intervals?",{"text":67,"@type":63},"Guidance relies on individual risk factors such as family history and hereditary conditions, plus findings from prior exams, including polyp number, size, and histologic characteristics.",{"name":69,"@type":60,"acceptedAnswer":70},"How can artificial intelligence improve colonoscopy outcomes?",{"text":71,"@type":63},"AI-based tools support endoscopists in identifying subtle lesions that may be missed, increasing polyp and malignancy detection rates and overall procedural quality.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},349408,1790136889,{"code":4,"msg":81,"data":82},"success",[83,87,91,95,100,105,109,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":92,"show_sort_weight":93,"slug":94},"Exam",70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":107,"slug":108},7,40,"healthcare",{"id":110,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},8,"Research & Report",30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":96,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":106,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":30,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":107},2336478951081,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Review began 05/18/2026  \nReview ended 05/27/2026  \nPublished 06/01/2026  \n© Copyright 2026  \nAzizian et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0. , which permits unrestricted use , distribution , and reproduction in any medium , provided the original author and source are credited.  \nDOI: 10.7759/cureus.110074  \nOpen Access Review Article  \nGastrointestinal Tract Polyp Detection, Tracking, and Surveillance and the Role of Artificial Intelligence  \nJohn Azizian 1, Bhaskar Banerjee 1, Oleh Haluszka 1 , Rolando Leal 1  \n1. Gastroenterology and Hepatology, University of Arizona College of Medicine-Tucson, Tucson, USA Corresponding author: John Azizian, [johnm.azizian@sbcglobal.net](johnm.azizian@sbcglobal.net)  \nAbstract  \nColorectal cancer remains a common malignancy and a leading cause of cancer-related mortality in the United States. Colonoscopy is widely utilized for screening, with the goal of early detection of malignancy, as well as identification and removal of pre-cancerous lesions. Screening strategies are guided by individual risk factors, including family history, the presence of hereditary conditions associated with increased colorectal cancer risk, and findings from prior colonoscopic examinations, including polyp number, size, and histologic characteristics. These factors inform recommendations on the appropriate timing for initiation and surveillance intervals. Endoscopic resection is generally preferred for the removal of adenomatous polyps when feasible, while more advanced lesions may require surgical intervention or specialized endoscopic techniques. Despite advances in technique and operator experience, lesions may still be missed during colonoscopy. To address this limitation and increase the yield of colonoscopies detecting lesions, artificial intelligence (AI)-based tools have been increasingly incorporated to enhance polyp detection and improve overall procedural quality. These technologies aim to support endoscopists in identifying subtle lesions, thus increasing malignancy and polyp detection rates, and thereby potentially contributing to more effective colorectal cancer prevention, lowering healthcare costs, and ultimately improving overall patient outcomes.  \nCategories: Gastroenterology  \nKeywords: adenoma, artificial intelligence (ai), colonoscopy, colorectal cancer, esophagogastroduodenoscopy (egd), polyp, screening, surveillance  \nIntroduction And Background  \nA polyp in the gastrointestinal tract is an abnormal proliferation, or growth, of cells, usually forming aclump but varying in size and shape, which may be benign, pre-cancerous/neoplastic, or cancerous [1] . Examples of polyp shapes include sessile (flatter on the luminal lining), pedunculated (attached to a thinner piece of tissue called a stalk, oftentimes from stool rubbing on the polyp and causing the underlying mucosal layer to stretch at the base of the polyp), semi-pedunculated, fungating, and carpet-like (completely flat) [1- 7] .  \nThe gold standard for colonic polyp detection and tracking is a high-quality colonoscopy [1,2] . Polyps are differentiated from healthy, normal tissue around them by various morphological changes that we will describe in the following section [1,7] . Colon polyps generally do not cause symptoms, but sometimes, if large, they can be obstructive and result in constipation or cause a gastrointestinal frank bleed that could possibly lead to anemia [7] . More importantly, they are encountered during screening and surveillance colonoscopies, with the aim of resecting pre-cancerous polyps before they can become malignant [7] .  \nEven for the most experienced endoscopist, polyps can be missed during endoscopic examinations. It is in this sphere that artificial intelligence (AI) software and innovations may aid in polyp detection and subsequent surveillance. This narrative review is intended to provide a broad discussion of topics for gas","cbCaibh1VpeycuWe","https://ap.wps.com/l/cbCaibh1VpeycuWe","pdf",299858,16,"English","# Abstract\n# Introduction And Background\n## Polyp types and clinical context\n# Review\n## Types of polyps\n### Hyperplastic polyps\n### Inflammatory polyps\n### Sessile serrated adenomas","[{\"question\":\"Why is colonoscopy central to colorectal cancer screening and prevention?\",\"answer\":\"Colonoscopy enables early detection and removal of pre-cancerous lesions, reducing the chance that polyps progress to malignancy.\"},{\"question\":\"Which patient and polyp factors guide screening and surveillance intervals?\",\"answer\":\"Guidance relies on individual risk factors such as family history and hereditary conditions, plus findings from prior exams, including polyp number, size, and histologic characteristics.\"},{\"question\":\"How can artificial intelligence improve colonoscopy outcomes?\",\"answer\":\"AI-based tools support endoscopists in identifying subtle lesions that may be missed, increasing polyp and malignancy detection rates and overall procedural quality.\"}]","Gastrointestinal Tract Polyp Detection, Tracking, and Surveillance and the Role of Artificial Intelligence | PDF",1790083171]