Awareness, use, and perceived barriers to artificial intelligence in pediatric urology: a multicenter survey.

ABSTRACT:

Background

Artificial intelligence (AI) and large language models (LLMs) are increasingly integrated into healthcare, yet their adoption in pediatric urology remains insufficiently explored. Pediatric urology, with its complex and rare conditions, may particularly benefit from AI-based innovations.

Objectives

This study aimed to assess pediatric urologists' awareness, usage patterns, and perceptions regarding AI and LLMs, while also identifying potential applications, barriers, and educational needs.

Design

A cross-sectional, descriptive survey was conducted among pediatric urologists.

Methods

Between May and July 2025, a 21-item questionnaire was distributed via professional networks and mailing lists. Items addressed demographics, knowledge of AI, frequency a

SUBMITTER: Kucuker K 

PROVIDER: S-EPMC12907479 | biostudies-literature | 2026 Jan-Dec

REPOSITORIES: biostudies-literature