Evidence map›Paper›PMID 40052309›Full record

ArticleUlusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES2025

ChatGPT's competence in responding to urological emergencies.

Mazhar Ortaç, Rıfat Burak Ergül, Hüseyin Burak Yazılı, Muhammet Firat Özervarlı, Şenol Tonyalı, Omer Sarılar, Faruk Özgör

Abstract read
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Article in Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES, 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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2 · The registry

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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

7 authors.

Mazhar OrtaçDepartment of Urology, Istanbul Faculty of Medicine, Istanbul University, Istanbul-Türkiye.
Rıfat Burak ErgülDepartment of Urology, Istanbul Faculty of Medicine, Istanbul University, Istanbul-Türkiye.
Hüseyin Burak YazılıDepartment of Urology, Haseki Training and Research Hospital, Istanbul-Türkiye.
Muhammet Firat ÖzervarlıDepartment of Urology, Istanbul Faculty of Medicine, Istanbul University, Istanbul-Türkiye.
Şenol TonyalıDepartment of Urology, Istanbul Faculty of Medicine, Istanbul University, Istanbul-Türkiye.
Omer SarılarDepartment of Urology, Haseki Training and Research Hospital, Istanbul-Türkiye.
Faruk ÖzgörDepartment of Urology, Haseki Training and Research Hospital, Istanbul-Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, artificial intelligence (AI) applications have been increasingly used as sources of medical information, alongside their applications in many other fields. This study is the first to evaluate ChatGPT's performance in addressing urological emergencies (UE).

methodsThe study included frequently asked questions (FAQs) by the public regarding UE, as well as UE-related questions formulated based on the European Association of Urology (EAU) guidelines. The FAQs were selected from questions posed by patients to doctors and hospital accounts on social media platforms (Facebook, Instagram, and X) and on websites. All questions were presented to ChatGPT 4 (premium version) in English, and the responses were recorded. Two urologists assessed the quality of the responses using a Global Quality Score (GQS) on a scale of 1 to 5.

resultsOf the 73 total FAQs, 53 (72.6%) received a GQS score of 5, while only two (2.7%) received a GQS score of 1. The questions with a GQS score of 1 pertained to priapism and urosepsis. The topic with the highest proportion of responses receiving a GQS score of 5 was urosepsis (82.3%), whereas the lowest scores were observed in questions related to renal trauma (66.7%) and postrenal acute kidney injury (66.7%). A total of 42 questions were formulated based on the EAU guidelines, of which 23 (54.8%) received a GQS score of 5 from the physicians. The mean GQS score for FAQs was 4.38+-1.14, which was significantly higher (p=0.009) than the mean GQS score for EAU guideline-based questions (3.88+-1.47).

conclusionThis study demonstrated for the first time that nearly three out of four FAQs were answered accurately and satisfactorily by ChatGPT. However, the accuracy and proficiency of ChatGPT's responses significantly decreased when addressing guideline-based questions on UE.

Indexed as

Artificial IntelligenceSocial MediaUrologic DiseasesUrologyEmergenciesGenerative Artificial IntelligenceHumansMaleSurveys and Questionnaires

Identifiers

PMID40052309
PMCPMC11894229

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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.