Still Using Only ChatGPT? The Comparison of Five Different Artificial Intelligence Chatbots’ Answers to the Most Common Questions About Kidney Stones

<b><i>Objective:</i></b> To evaluate and compare the quality and comprehensibility of answers produced by five distinct artificial intelligence (AI) chatbots-GPT-4, Claude, Mistral, Google PaLM, and Grok-in response to the most frequently searched questions about kidney stones (KS). <b><i>Materials and Methods:</i></b> Google Trends facilitated the identification of pertinent terms related to KS. Each AI chatbot was provided with a unique sequence of 25 commonly searched phrases as input. The responses were assessed using DISCERN, the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P), the Flesch-Kincaid Grade Level (FKGL), and the Flesch-Kincaid Reading Ease (FKRE) criteria. <b><i>Results:</i></b> The three most frequently searched terms were "stone in kidney," "kidney stone pain," and "kidney pain." Nepal, India, and Trinidad and Tobago were the countries that performed the most searches in KS. None of the AI chatbots attained the requisite level of comprehensibility. Grok demonstrated the highest FKRE (55.6 ± 7.1) and lowest FKGL (10.0 ± 1.1) ratings (<i>p</i> = 0.001), whereas Claude outperformed the other chatbots in its DISCERN scores (47.6 ± 1.2) (<i>p</i> = 0.001). PEMAT-P understandability was the lowest in GPT-4 (53.2 ± 2.0), and actionability was the highest in Claude (61.8 ± 3.5) (<i>p</i> = 0.001). <b><i>Conclusion:</i></b> GPT-4 had the most complex language structure of the five chatbots, making it the most difficult to read and comprehend, whereas Grok was the simplest. Claude had the best KS text quality. Chatbot technology can improve healthcare material and make it easier to grasp.

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Publication Details

Journal
Journal of Endourology
Published
2024-08-30
DOI
https://doi.org/10.1089/end.2024.0474
Citations
22
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
2.65
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article

Still Using Only ChatGPT? The Comparison of Five Different Artificial Intelligence Chatbots’ Answers to the Most Common Questions About Kidney Stones

Cenk Murat Yazıcı, Çağrı Doğan, Rıdvan Özcan, Mehmet Fatih Şahin et al.
22 citations
Journal of Endourology
Artificial Intelligence in Healthcare and Education
2.65
article

Still Using Only ChatGPT? The Comparison of Five Different Artificial Intelligence Chatbots’ Answers to the Most Common Questions About Kidney Stones

Cenk Murat Yazıcı, Çağrı Doğan, Rıdvan Özcan, Mehmet Fatih Şahin, Murat Akgül, Serkan Şeramet, Erdem Can Topkaç
article en
22 citations

Abstract

<b><i>Objective:</i></b> To evaluate and compare the quality and comprehensibility of answers produced by five distinct artificial intelligence (AI) chatbots-GPT-4, Claude, Mistral, Google PaLM, and Grok-in response to the most frequently searched questions about kidney stones (KS). <b><i>Materials and Methods:</i></b> Google Trends facilitated the identification of pertinent terms related to KS. Each AI chatbot was provided with a unique sequence of 25 commonly searched phrases as input. The responses were assessed using DISCERN, the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P), the Flesch-Kincaid Grade Level (FKGL), and the Flesch-Kincaid Reading Ease (FKRE) criteria. <b><i>Results:</i></b> The three most frequently searched terms were "stone in kidney," "kidney stone pain," and "kidney pain." Nepal, India, and Trinidad and Tobago were the countries that performed the most searches in KS. None of the AI chatbots attained the requisite level of comprehensibility. Grok demonstrated the highest FKRE (55.6 ± 7.1) and lowest FKGL (10.0 ± 1.1) ratings (<i>p</i> = 0.001), whereas Claude outperformed the other chatbots in its DISCERN scores (47.6 ± 1.2) (<i>p</i> = 0.001). PEMAT-P understandability was the lowest in GPT-4 (53.2 ± 2.0), and actionability was the highest in Claude (61.8 ± 3.5) (<i>p</i> = 0.001). <b><i>Conclusion:</i></b> GPT-4 had the most complex language structure of the five chatbots, making it the most difficult to read and comprehend, whereas Grok was the simplest. Claude had the best KS text quality. Chatbot technology can improve healthcare material and make it easier to grasp.

Journal of EndourologyVol. 38(11)
Tekirdağ Namık Kemal University (TR), Ministry of Health (TR), State Hospital (GB), Sivas State Hospital (TR), Ümraniye Eğitim ve Araştırma Hastanesi (TR)
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare and Education
2.65
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