Responses of Five Different Artificial Intelligence Chatbots to the Top Searched Queries About Erectile Dysfunction: A Comparative Analysis

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dc.authoridYazici, Cenk Murat/0000-0001-6140-5181
dc.authoridAKGUL, MURAT/0000-0001-6187-1940
dc.authoridKELES, ANIL/0000-0001-6522-0862
dc.authoridozcan, ridvan/0000-0002-2083-3216
dc.authoridSAHIN, MEHMET FATIH/0000-0002-0926-3005
dc.contributor.authorSahin, Mehmet Fatih
dc.contributor.authorAtes, Huseyin
dc.contributor.authorKeles, Anil
dc.contributor.authorOzcan, Ridvan
dc.contributor.authorDogan, Cagri
dc.contributor.authorAkgul, Murat
dc.contributor.authorYazici, Cenk Murat
dc.date.accessioned2024-10-29T17:58:20Z
dc.date.available2024-10-29T17:58:20Z
dc.date.issued2024
dc.departmentTekirdağ Namık Kemal Üniversitesi
dc.description.abstractThe aim of the study is to evaluate and compare the quality and readability of responses generated by five different artificial intelligence (AI) chatbots-ChatGPT, Bard, Bing, Ernie, and Copilot-to the top searched queries of erectile dysfunction (ED). Google Trends was used to identify ED-related relevant phrases. Each AI chatbot received a specific sequence of 25 frequently searched terms as input. Responses were evaluated using DISCERN, Ensuring Quality Information for Patients (EQIP), and Flesch-Kincaid Grade Level (FKGL) and Reading Ease (FKRE) metrics. The top three most frequently searched phrases were erectile dysfunction cause, how to erectile dysfunction, and erectile dysfunction treatment. Zimbabwe, Zambia, and Ghana exhibited the highest level of interest in ED. None of the AI chatbots achieved the necessary degree of readability. However, Bard exhibited significantly higher FKRE and FKGL ratings (p = 0.001), and Copilot achieved better EQIP and DISCERN ratings than the other chatbots (p = 0.001). Bard exhibited the simplest linguistic framework and posed the least challenge in terms of readability and comprehension, and Copilot's text quality on ED was superior to the other chatbots. As new chatbots are introduced, their understandability and text quality increase, providing better guidance to patients.
dc.description.sponsorshipTekirdag Namimath;k Kemal University
dc.description.sponsorshipNo Statement Available
dc.identifier.doi10.1007/s10916-024-02056-0
dc.identifier.issn0148-5598
dc.identifier.issn1573-689X
dc.identifier.issue1en_US
dc.identifier.pmid38568432
dc.identifier.scopus2-s2.0-85189203635
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s10916-024-02056-0
dc.identifier.urihttps://hdl.handle.net/20.500.11776/14232
dc.identifier.volume48
dc.identifier.wosWOS:001196965000001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal of Medical Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtificial intelligence
dc.subjectBard
dc.subjectBing
dc.subjectChatbot
dc.subjectChatGPT
dc.subjectCopilot
dc.subjectErectile dysfunction
dc.subjectErnie bot
dc.titleResponses of Five Different Artificial Intelligence Chatbots to the Top Searched Queries About Erectile Dysfunction: A Comparative Analysis
dc.typeArticle

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