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For penile anomalies such as hypospadias, standardized image analysis reduces subjectivity and strengthens diagnosis and surgical decision-making. Machine learning also enables risk stratification for vesicoureteral reflux to optimize antibiotic prophylaxis and anticipate resolution. Surgical precision is further enhanced via 3D simulation and real-time intraoperative navigation, while adoption is constrained by data scarcity, privacy regulation, and the need for ethical and legal frameworks.",{"@graph":14,"@context":73},[15,34,56],{"@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/transforming-pediatric-urology-with-artificial-intelligence-narrative-review-of-current-evidence-and-practice/455413/",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/transforming-pediatric-urology-with-artificial-intelligence-narrative-review-of-current-evidence-and-practice/455413.png","ImageObject",300,407,{"name":42,"@type":43},"MrHarris58","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-31","2026-09-30",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",8,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"How does AI improve diagnosis in pediatric urology?","Question",{"text":63,"@type":64},"AI can enhance diagnostic accuracy by using deep learning models for conditions such as hydronephrosis and by applying standardized image analysis for penile anomalies like hypospadias, reducing subjectivity.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What role does AI play in surgical planning and intraoperative care?",{"text":68,"@type":64},"AI supports surgical precision through 3D simulation and real-time intraoperative navigation, improving how procedures such as pyeloplasty are planned and performed.",{"name":70,"@type":61,"acceptedAnswer":71},"What are the main barriers to widespread AI adoption in this field?",{"text":72,"@type":64},"Adoption is limited by data scarcity, strict privacy regulations, and the need for ethical and legal frameworks governing patient data.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},455413,1790813845,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":108,"slug":109},7,40,"healthcare",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},"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":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":107,"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":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":115,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":144,"preview_page_count":4},687212988360,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Review began 12/27/2025  \nReview ended 01/03/2026  \nPublished 01/06/2026  \n© Copyright 2026  \nHasan 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.100893  \nOpen Access Review Article  \nTransforming Pediatric Urology With Artificial Intelligence: A Narrative Review of Current Evidence and Practice  \nMuhammad Rakib Hasan 1, Angelos Christofides 2, Pradip Subedi 3, Momen Abdelglil 4 , Alaa Alghanemi 5, Kawthar Shehab 5  \n1. Urology, Watford General Hospital, West Hertfordshire Teaching Hospitals NHS Trust, Watford, GBR 2. Urology, West Hertfordshire Teaching Hospitals NHS Trust, Watford, GBR 3. Urology, Northwick Park Hospital, London North West University Healthcare NHS Trust, Harrow, GBR 4. Pediatric Surgery, Mansoura University Children Hospital, Mansoura, EGY 5. Internal Medicine, Faculty of Medicine, Mansoura University, Mansoura, EGY  \nCorresponding author: Momen Abdelglil, [momenabdelglil20@gmail.com](momenabdelglil20@gmail.com)  \nAbstract  \nThe use of artificial intelligence (AI) with pediatric urology is reshaping clinical care by enhancing diagnostic accuracy, surgical planning, and postoperative monitoring. AI integration offers significant advancements in managing conditions like hydronephrosis, where deep learning models automate severity grading and predict obstruction more accurately than conventional methods. In penile anomalies, such as hypospadias, AI reduces subjectivity through standardized image analysis, aiding in diagnosis and surgical decision-making. Furthermore, machine learning algorithms assist in risk-stratifying patients with vesicoureteral reflux to optimize antibiotic prophylaxis and predict resolution. Beyond diagnostics, AI enhances surgical precision in procedures like pyeloplasty through 3D simulation and real-time intraoperative navigation. However, widespread adoption is currently limited by challenges such as data scarcity, strict privacy regulations, and the need for ethical legal frameworks regarding patient data. Future developments must focus on creating transparent, interpretable decision support systems that can safely integrate into standard clinical workflows.  \nCategories: Urology, Pediatric Surgery  \nKeywords: artificial intelligence, clinical decision support systems, deep learning, hydronephrosis, hypospadias, machine learning, neural networks, pediatric urology, posterior urethral valves, vesicoureteral reflux  \nIntroduction And Background  \nRapid technological advancements in medicine, combined with digital patient record systems and increased computational capabilities, are driving the generation of large-scale medical datasets [1] . As the quantity, diversity, and accessibility of big data in medical practice expand, clinicians encounter increased complexity in integrating this information to formulate accurate diagnoses, customize treatment approaches, and forecast patient outcomes [2] .  \nThe integration of artificial intelligence (AI) has emerged as a focal point in contemporary medicine. This trend is particularly evident in the field of urology, which has witnessed an exponential surge in research publications utilizing AI methodologies in recent years [3,4] . AI has become widely integrated into urologic practice, fundamentally shifting how clinical data is utilized. When compared to conventional statistical methods, AI approaches demonstrate superior predictive accuracy and offer a more robust capacity for theexplorative analysis of large, complex data cohorts [4] .  \nMachine learning (ML) has evolved for decades, but recently advanced rapidly thanks to better hardware, software, and larger datasets. In healthcare, ML can analyze electronic records, medical images, and biomedical data to detect complex hidden patterns. This helps identify r","cbCaiu4MN2NRT62b","https://ap.wps.com/l/cbCaiu4MN2NRT62b","pdf",586193,"English","# Abstract\n# Introduction And Background\n## Literature Review Rationale\n## Machine Learning in Healthcare and Urology\n# How to cite this article\n# Review\n## Methodology","[{\"question\":\"How does AI improve diagnosis in pediatric urology?\",\"answer\":\"AI can enhance diagnostic accuracy by using deep learning models for conditions such as hydronephrosis and by applying standardized image analysis for penile anomalies like hypospadias, reducing subjectivity.\"},{\"question\":\"What role does AI play in surgical planning and intraoperative care?\",\"answer\":\"AI supports surgical precision through 3D simulation and real-time intraoperative navigation, improving how procedures such as pyeloplasty are planned and performed.\"},{\"question\":\"What are the main barriers to widespread AI adoption in this field?\",\"answer\":\"Adoption is limited by data scarcity, strict privacy regulations, and the need for ethical and legal frameworks governing patient data.\"}]","Transforming Pediatric Urology With Artificial Intelligence - Narrative Review of Current Evidence and Practice | PDF",1790742814,23]