Performance of 5 Large Language Models in Perioperative Consultation for Pediatric Hypospadias: Cross-Sectional Comparative Study
Background: Hypospadias is a common congenital malformation requiring surgery. Caregivers face substantial perioperative information needs, and large language models (LLMs) offer a potential health education channel, but their performance in pediatric urology and the relation between citation accuracy and clinical content safety lack systematic evaluation. Objective: This study aimed to evaluate 5 LLMs (ChatGPT-4o, Gemini-2.5-Pro, OpenEvidence, Zhipu Qingyan, and DeepSeek) for pediatric hypospad
Record details
Published: 29 July 2026
Source: JMIR (Journal of Medical Internet Research)
Category: Research
Topics: Healthcare · Children & education
Retrieved: 30 July 2026
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How to cite this record
ethics.ai (29 July 2026), “Performance of 5 Large Language Models in Perioperative Consultation for Pediatric Hypospadias: Cross-Sectional Comparative Study,” evidence record 14648, https://ethics.ai/record/14648 (originally published by JMIR (Journal of Medical Internet Research)).
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