Jeffery Yang, Ymer Bushati, Sarah Lorger, Jeremy Saad, Prem Rathore
{"title":"Filling the information gap: a validated comparison of ChatGPT, Gemini, and Claude for penile cancer patient education.","authors":"Jeffery Yang, Ymer Bushati, Sarah Lorger, Jeremy Saad, Prem Rathore","doi":"10.21037/tau-2026-0603","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>ChatGPT, Gemini, and Claude are three large language models (LLMs) increasingly consulted by patients researching a new cancer diagnosis. Penile cancer is rare, stigmatised, and dominated by decisions around organ preservation and sexual function, which makes the quality of patient-facing information particularly consequential. The aim of this study was to assess the quality of responses generated by these LLMs to patient-oriented questions on penile cancer.</p><p><strong>Methods: </strong>Fourteen questions reflecting common patient information needs were adapted from established educational resources and refined by senior urology consultant review. Each query was presented to ChatGPT, Gemini, and Claude using an identical patient-centred prompt. Responses (n=42) were anonymised and randomly ordered before being independently reviewed in a consensus meeting by a urology panel using the Quality Analysis of Medical Artificial Intelligence (QAMAI) framework. Comparative analysis used the Friedman test with Bonferroni-corrected pairwise Wilcoxon signed-rank testing.</p><p><strong>Results: </strong>Mean total QAMAI scores were 22.7 for ChatGPT (median, 23; range, 17 to 25), 22.6 for Claude (median, 23; range, 18 to 24), and 17.0 for Gemini (median, 17.5; range, 14 to 20), corresponding to moderate quality for ChatGPT and Claude and the boundary of poor and moderate quality for Gemini. The difference across models was significant (Friedman χ<sup>2</sup>=18.78; P<0.001). ChatGPT and Claude each significantly outperformed Gemini (both adjusted P=0.004) but did not differ from one another (adjusted P>0.99). ChatGPT produced the clearest responses and Claude the most complete, while Gemini scored lowest in every domain, most strikingly for surgery and organ preservation (14.0 <i>vs.</i> 23.7 and 23.0). No response provided citations or referred readers to external sources of information.</p><p><strong>Conclusions: </strong>ChatGPT and Claude delivered broadly equivalent, moderate-to-good-quality information on patient-derived penile cancer questions, and both clearly outperformed Gemini, which frequently produced incomplete answers in the surgical and organ preservation domain. The universal absence of source citation is a clinically relevant limitation. These tools should be regarded as a supplement to, rather than a substitute for, specialist consultation.</p>","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"15 9","pages":"340"},"PeriodicalIF":1.9000,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13657722/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational andrology and urology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/tau-2026-0603","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/11 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ANDROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: ChatGPT, Gemini, and Claude are three large language models (LLMs) increasingly consulted by patients researching a new cancer diagnosis. Penile cancer is rare, stigmatised, and dominated by decisions around organ preservation and sexual function, which makes the quality of patient-facing information particularly consequential. The aim of this study was to assess the quality of responses generated by these LLMs to patient-oriented questions on penile cancer.
Methods: Fourteen questions reflecting common patient information needs were adapted from established educational resources and refined by senior urology consultant review. Each query was presented to ChatGPT, Gemini, and Claude using an identical patient-centred prompt. Responses (n=42) were anonymised and randomly ordered before being independently reviewed in a consensus meeting by a urology panel using the Quality Analysis of Medical Artificial Intelligence (QAMAI) framework. Comparative analysis used the Friedman test with Bonferroni-corrected pairwise Wilcoxon signed-rank testing.
Results: Mean total QAMAI scores were 22.7 for ChatGPT (median, 23; range, 17 to 25), 22.6 for Claude (median, 23; range, 18 to 24), and 17.0 for Gemini (median, 17.5; range, 14 to 20), corresponding to moderate quality for ChatGPT and Claude and the boundary of poor and moderate quality for Gemini. The difference across models was significant (Friedman χ2=18.78; P<0.001). ChatGPT and Claude each significantly outperformed Gemini (both adjusted P=0.004) but did not differ from one another (adjusted P>0.99). ChatGPT produced the clearest responses and Claude the most complete, while Gemini scored lowest in every domain, most strikingly for surgery and organ preservation (14.0 vs. 23.7 and 23.0). No response provided citations or referred readers to external sources of information.
Conclusions: ChatGPT and Claude delivered broadly equivalent, moderate-to-good-quality information on patient-derived penile cancer questions, and both clearly outperformed Gemini, which frequently produced incomplete answers in the surgical and organ preservation domain. The universal absence of source citation is a clinically relevant limitation. These tools should be regarded as a supplement to, rather than a substitute for, specialist consultation.
期刊介绍:
ranslational Andrology and Urology (Print ISSN 2223-4683; Online ISSN 2223-4691; Transl Androl Urol; TAU) is an open access, peer-reviewed, bi-monthly journal (quarterly published from Mar.2012 - Dec. 2014). The main focus of the journal is to describe new findings in the field of translational research of Andrology and Urology, provides current and practical information on basic research and clinical investigations of Andrology and Urology. Specific areas of interest include, but not limited to, molecular study, pathology, biology and technical advances related to andrology and urology. Topics cover range from evaluation, prevention, diagnosis, therapy, prognosis, rehabilitation and future challenges to urology and andrology. Contributions pertinent to urology and andrology are also included from related fields such as public health, basic sciences, education, sociology, and nursing.