Purpose Of Review: There has been an explosion of creative uses of artificial intelligence (AI) in healthcare, with AI being touted as a solution for many problems facing the healthcare system. This review focuses on tools currently available to pediatric urologists, previews up-and-coming technologies, and highlights the latest studies investigating benefits and limitations of AI in practice.
Recent Findings: Imaging-driven AI software and clinical prediction tools are two of the more exciting applications of AI for pediatric urologists. As nuanced pattern recognition improves in trained computer models, pediatric urologists will be able to better counsel and risk stratify patients with chronic diseases and surgical needs. AI is also being extensively used in product development for enuresis treatment. Large language models such as ChatGPT continue to be of strong interest as a patient-facing education tool, but it lacks the accuracy needed to serve as a suitable alternative to human response.
Summary: AI is increasingly investigated for use across healthcare fields, including pediatric urology. Use of AI and machine learning (ML) is being explored for patient interface, imaging assessment, outcomes prediction, and product development. Though still in preclinical stages for most systems, ML presents as a promising new clinical tool with potential to shape healthcare systems and medical practice.
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http://dx.doi.org/10.1097/MOU.0000000000001275 | DOI Listing |
Curr Opin Urol
March 2025
Department of Pediatric Urology, Oregon Health and Science University, Portland, Oregon, USA.
Purpose Of Review: There has been an explosion of creative uses of artificial intelligence (AI) in healthcare, with AI being touted as a solution for many problems facing the healthcare system. This review focuses on tools currently available to pediatric urologists, previews up-and-coming technologies, and highlights the latest studies investigating benefits and limitations of AI in practice.
Recent Findings: Imaging-driven AI software and clinical prediction tools are two of the more exciting applications of AI for pediatric urologists.
J Pediatr
March 2025
University of Michigan Department of Obstetrics and Gynecology, 1500 E. Medical Center Dr., Ann Arbor, MI 48109, USA. Electronic address:
Objective: To compare treatment and outcome differences between primary care providers (PCP), pediatric and adolescent gynecologists (PAG), and pediatric urologists (PUR) in management of labial adhesions (LA).
Study Design: This was a retrospective, cohort study of patients aged 0 through 21 presenting for a clinic visit from July 2022 to July 2023 at a single institution, identified by ICD-9/ICD-10 codes for LA. Management variation was analyzed via cross-tabs with chi-square, Fisher's exact, and two-sample t-tests.
Urolithiasis
February 2025
Department of Urology, School of Medicine, Necmettin Erbakan University, Konya, Turkey.
The purpose of the study was to determine the urologists' knowledge of ionizing radiation and the frequency of CT scan utilization for pediatric patients with urolithiasis. The second aim is to examine the factors that affect the choice of the CT imaging method in these patients. We sent a quantitative online questionnaire to urologists and pediatric urologists in various regions and practice settings of Turkey via a web survey database in June 2022.
View Article and Find Full Text PDFUrology
February 2025
Division of Urology, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL; Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL. Electronic address:
Objective: To investigate national trends in newborn circumcision complication and secondary procedure rates and whether clinician specialty affects these rates.
Methods: The Merative MarketScan Database was queried for claims from 2010 to 2022. CPT 54150 identified newborn circumcisions; CPT 54162, 54163, 54164, 54300, and 54450 identified secondary procedures; ICD-9 and ICD-10 codes identified complications.
Bladder (San Franc)
January 2025
Division of Neuro-Urology, Bambino Gesù Children's Hospital, Scientific Institute for Research, Hospitalization and Healthcare IRCCS, Rome, 00165 Italy.
Background: Among the numerous complications associated with post-coronavirus disease 2019 (COVID-19) syndrome, neurogenic lower urinary tract dysfunction (NLUTD) has been rarely reported, particularly in the pediatric population.
Case Presentation: This report presented three pediatric cases of NLUTD that developed following severe acute respiratory syndrome coronavirus 2 infection, with clinical features resembling Elsberg syndrome. These cases were notable for the severity of their urinary symptoms, which required specialized and individualized bladder management strategies.
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