Transforming Pediatric Urology With Artificial Intelligence: A Narrative Review of Current Evidence and Practice
CureusResearch Authors: Muhammad Rakib Hasan, Angelos Christofides, Pradip Subedi, Momen Abdelglil, Alaa Alghanemi, Kawthar ShehabAIIM Authors: Kara Wang, Madison SchanzApproved by President Reda RiffiPublication Date: 1/6/2026Comprehensive Summary
The use of artificial intelligence (AI) in pediatric urology has allowed for significant improvements in diagnostic accuracy, surgical planning, and postoperative care. Specifically, AI integration into the clinical setting has allowed for deep learning models to automate severity grading and predict obstruction; reduce subjectivity in imaging analysis; and enhance surgical precision through 3D simulation and real-time intraoperative navigation. Future developments can further enhance these improvements by working to increase data pools, strengthen privacy and transparency regulations, and establish standard practices and ethical legal frameworks.
Outcomes and Implications
The use of AI in pediatric urology provides an avenue to make patient care more efficient and accurate. By reducing subjectivity, providing accurate predictions of procedural outcomes, and developing strong postoperative care plans, AI allows for an increase in personalization in clinical interactions that lead to improved patient outcomes.
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