Evidence map›Paper›PMID 40967196›Full record

ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada2025

Evaluation of ChatGPT's performance on answering pediatric urology questions based on association guidelines.

Wyatt MacNevin, Nicholas Dawe, Laura Harkness, Budoor Salman, Daniel T Keefe

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Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wyatt MacNevinDepartment of Urology, Dalhousie University, Halifax, NS, Canada.
Nicholas DaweFaculty of Medicine, Dalhousie University, Halifax, NS, Canada.
Laura HarknessFaculty of Medicine, Dalhousie University, Halifax, NS, Canada.
Budoor SalmanDepartment of Urology, Dalhousie University, Halifax, NS, Canada.
Daniel T KeefeDepartment of Urology, Dalhousie University, Halifax, NS, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChatGPT has been shown to provide accurate and complete responses to clinically focused questions, although its ability to successfully answer common pediatric urology-based questions remains unexplored. Furthermore, the concordance of ChatGPT's answers with association recommendations has yet to be analyzed.

methodsA list of common pediatric urology questions of varying difficulty was developed in association with publicly available guidelines and resources from the Canadian Urological Association (CUA), American Urological Association (AUA), and the European Association of Urology (EAU). Questions were administered individually using three separate functions, and responses were evaluated for comprehensiveness and accuracy using a Likert scale. Descriptive statistics and analysis of variance were used for statistical analysis.

resultsChatGPT performed best in the domain of phimosis (mean ± standard deviation: 2.32/3.00±0.57) and VUR (2.11/3.00±0.63), and worst in acute scrotal pathology (1.90/3.00±0.58) and cryptorchidism (1.92/3.00±0.56) (p=0.031). "Easy" questions (2.31/3.00±0.09) had greater comprehensiveness scores compared to "medium" (1.92/3.00±0.07, p=0.003) and "difficult" questions (1.86/3.00±0.101, p=0.003). Definition-based questions had greater comprehensiveness scores across all guidelines. ChatGPT was more accurate and in concordance with EAU-based information (2.10±0.41) compared to AUA (1.95±0.41, p=0.04).

conclusionsChatGPT answered questions with high levels of appropriateness and comprehensiveness. ChatGPT performed best in the areas of phimosis and VUR and worst in acute scrotal pathology. While ChatGPT performed well across all question domains, it performed best when referenced to EAU and CUA compared to AUA.

Identifiers

PMID40967196
PMCPMC12604911

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.