Scopus
YÖKSİS Eşleşti
Comparative analysis of artificial intelligence chatbot recommendations for urolithiasis management: A study of EAU guideline compliance
French Journal of Urology · Temmuz 2024
YÖKSİS Kayıtları
Comparative analysis of artificial intelligence chatbot recommendations for urolithiasis management: A study of EAU guideline compliance.
The French journal of urology · 2024 SCI-Expanded
PROFESÖR MEHMET KAYNAR →
Comparative analysis of artificial intelligence chatbot recommendations for urolithiasis management: A study of EAU guideline compliance
The French Journal of Urology · 2024 SCI-Expanded
PROFESÖR ÖZCAN KILIÇ →
Comparative analysis of artificial intelligence chatbot recommendations for urolithiasis management: A study of EAU guideline compliance
The French Journal of Urology · 2024 SCI-Expanded
PROFESÖR SERDAR GÖKTAŞ →
Comparative Analysis of Artificial Intelligence Chatbot Recommendations for Urolithiasis Management: A Study of EAU Guideline Compliance
The French Journal of Urology · 2024 SCI-Expanded
DOÇENT ALİ FURKAN BATUR →
Comparative Analysis of Artificial Intelligence Chatbot Recommendations for Urolithiasis Management: A Study of EAU Guideline Compliance
The French Journal of Urology · 2024 SCI-Expanded
PROFESÖR MEHMET KAYNAR →
Comparative Analysis of Artificial Intelligence Chatbot Recommendations for Urolithiasis Management: A Study of EAU Guideline Compliance
The French Journal of Urology · 2024 SCI-Expanded
DOÇENT EMRE ALTINTAŞ →
Comparative Analysis of Artificial Intelligence Chatbot Recommendations for Urolithiasis Management: A Study of EAU Guideline Compliance
The French Journal of Urology · 2024 SCI-Expanded
DOÇENT MURAT GÜL →
Makale Bilgileri
DergiFrench Journal of Urology
Yayın TarihiTemmuz 2024
Cilt / Sayfa34
Scopus ID2-s2.0-85195874437
Özet
Objectives: Artificial intelligence (AI) applications are increasingly being utilized by both patients and physicians for accessing medical information. This study focused on the urolithiasis section (pertaining to kidney and ureteral stones) of the European Association of Urology (EAU) guideline, a key reference for urologists. Material and methods: We directed inquiries to four distinct AI chatbots to assess their responses in relation to guideline adherence. A total of 115 recommendations were transformed into questions, and responses were evaluated by two urologists with a minimum of 5 years of experience using a 5-point Likert scale (1 – False, 2 – Inadequate, 3 – Sufficient, 4 – Correct, and 5 – Very correct). Results: The mean scores for Perplexity and ChatGPT 4.0 were 4.68 (SD: 0.80) and 4.80 (SD: 0.47), respectively, both significantly differed the scores of Bing and Bard (Bing vs. Perplexity, P < 0.001; Bard vs. Perplexity, P < 0.001; Bing vs. ChatGPT, P < 0.001; Bard vs. ChatGPT, P < 0.001). Bing had a mean score of 4.21 (SD: 0.96), while Bard scored 3.56 (SD: 1.14), with a significant difference (Bing vs. Bard, P < 0.001). Bard exhibited the lowest score among all chatbots. Analysis of references revealed that Perplexity and Bing cited the guideline most frequently (47.3% and 30%, respectively). Conclusion: Our findings demonstrate that ChatGPT 4.0 and, notably, Perplexity align well with EAU guideline recommendations. These continuously evolving applications may play a crucial role in delivering information to physicians in the future, especially for urolithiasis.
Yazarlar (7)
1
Emre Altıntaş
ORCID: 0000-0002-6797-3937
2
Mehmet Serkan Özkent
ORCID: 0000-0002-6613-0671
3
Murat Gul
ORCID: 0000-0002-6657-6227
4
Ali Furkan Batur
ORCID: 0000-0001-7945-7326
5
Mehmet Kaynar
ORCID: 0000-0002-6957-9060
6
Ozcan Kilic
7
Serdar Goktas
ORCID: 0000-0001-6538-7187
Anahtar Kelimeler
Artificial intelligence Chatbot
ChatGPT
EAU guideline
Perplexity
Urolithiasis
Kurumlar
Konya City Hospital
Konya Turkey
Selçuk Tip Fakültesi
Konya Turkey
Metrikler
9
Atıf
7
Yazar
5
Anahtar Kelime