Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Use of Artificial Intelligence in Vesicoureteral Reflux Disease: A Comparative Study of Guideline Compliance
Journal of Clinical Medicine · Nisan 2025
YÖKSİS Kayıtları
Use of Artificial Intelligence in Vesicoureteral Reflux Disease: A Comparative Study of Guideline Compliance
Journal of Clinical Medicine · 2025 SCI-Expanded
DOKTOR ÖĞRETİM ÜYESİ MEHMET SARIKAYA →
Use of Artificial Intelligence in Vesicoureteral Reflux Disease: A Comparative Study of Guideline Compliance
J Clin Med · 2025 SCI-Expanded
DOÇENT FATMA ÖZCAN SIKI →
Makale Bilgileri
DergiJournal of Clinical Medicine
Yayın TarihiNisan 2025
Cilt / Sayfa14
Scopus ID2-s2.0-105002289131
Erişim🔓 Açık Erişim
Özet
Objective: This study aimed to evaluate the compliance of four different artificial intelligence applications (ChatGPT-4.0, Bing AI, Google Bard, and Perplexity) with the American Urological Association (AUA) vesicoureteral reflux (VUR) management guidelines. Materials and Methods: Fifty-one questions derived from the AUA guidelines were asked of each AI application. Two experienced paediatric surgeons independently scored the responses using a five-point Likert scale. Inter-rater agreement was analysed using the intraclass correlation coefficient (ICC). Results: ChatGPT-4.0, Bing AI, Google Bard, and Perplexity received mean scores of 4.91, 4.85, 4.75 and 4.70 respectively. There was no statistically significant difference between the accuracy of the AI applications (p = 0.223). The inter-rater ICC values were above 0.9 for all platforms, indicating a high level of consistency in scoring. Conclusions: The evaluated AI applications agreed highly with the AUA VUR management guidelines. These results suggest that AI applications may be a potential tool for providing guideline-based recommendations in paediatric urology.
Yazarlar (3)
1
Mehmet Sarıkaya
ORCID: 0000-0003-2453-0893
2
Fatma Özcan Sıkı
ORCID: 0000-0002-4461-3461
3
Ilhan Çiftci
Anahtar Kelimeler
artificial intelligence applications
clinical guidelines compliance
decision support systems
paediatric urology
vesicoureteral reflux
Kurumlar
Selçuk Tip Fakültesi
Konya Turkey
Metrikler
1
Atıf
3
Yazar
5
Anahtar Kelime