Evidence map›Paper›PMID 39932577›Full record

ArticleWorld journal of urology2025

Which current chatbot is more competent in urological theoretical knowledge? A comparative analysis by the European board of urology in-service assessment.

Mehmet Fatih Şahin, Çağrı Doğan, Erdem Can Topkaç, Serkan Şeramet, Furkan Batuhan Tuncer, Cenk Murat Yazıcı

Abstract readComparative Study
In one paragraph

Article in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mehmet Fatih ŞahinUrology Department, Tekirdag Namık Kemal University, Süleymanpaşa, Tekirdağ, 59020, Turkey. mfatihsahin@gmail.com.ORCID http://orcid.org/0000-0002-0926-3005
Çağrı DoğanUrology Department, Tekirdag Namık Kemal University, Süleymanpaşa, Tekirdağ, 59020, Turkey.ORCID https://orcid.org/0000-0001-9681-2473
Erdem Can TopkaçUrology Department, Tekirdag Namık Kemal University, Süleymanpaşa, Tekirdağ, 59020, Turkey.ORCID https://orcid.org/0009-0002-5479-7599
Serkan ŞerametUrology Department, Tekirdag Namık Kemal University, Süleymanpaşa, Tekirdağ, 59020, Turkey.ORCID https://orcid.org/0000-0003-3774-7979
Furkan Batuhan TuncerUrology Department, Tekirdag Namık Kemal University, Süleymanpaşa, Tekirdağ, 59020, Turkey.ORCID https://orcid.org/0009-0008-9175-4663
Cenk Murat YazıcıUrology Department, Tekirdag Namık Kemal University, Süleymanpaşa, Tekirdağ, 59020, Turkey.ORCID https://orcid.org/0000-0001-6140-5181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe European Board of Urology (EBU) In-Service Assessment (ISA) test evaluates urologists' knowledge and interpretation. Artificial Intelligence (AI) chatbots are being used widely by physicians for theoretical information. This research compares five existing chatbots' test performances and questions' knowledge and interpretation. MATERIALS AND

methodsGPT-4o, Copilot Pro, Gemini Advanced, Claude 3.5, and Sonar Huge chatbots solved 596 questions in 6 exams between 2017 and 2022. The questions were divided into two categories: questions that measure knowledge and require data interpretation. The chatbots' exam performances were compared.

resultsOverall, all chatbots except Claude 3.5 passed the examinations with a percentage of 60% overall score. Copilot Pro scored best, and Claude 3.5's score difference was significant (71.6% vs. 56.2%, p = 0.001). When a total of 444 knowledge and 152 analysis questions were compared, Copilot Pro offered the greatest percentage of information, whereas Claude 3.5 provided the least (72.1% vs. 57.4%, p = 0.001). This was also true for analytical skills (70.4% vs. 52.6%, p = 0.019).

conclusionsFour out of five chatbots passed the exams, achieving scores exceeding 60%, while only one did not pass the EBU examination. Copilot Pro performed best in EBU ISA examinations, whereas Claude 3.5 performed worst. Chatbots scored worse on analysis than knowledge questions. Thus, although existing chatbots are successful in terms of theoretical knowledge, their competence in analyzing the questions is questionable.

Indexed as

Artificial IntelligenceClinical CompetenceEducational MeasurementUrologyEuropeGenerative Artificial IntelligenceHumansSpecialty BoardsChatbotClaudeCopilotEuropean board of urologyGeminiGPTIn-service assessmentSonar huge

Identifiers

PMID39932577
PMCPMC11813998

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.