Aim: Artificial Intelligence may have significant potential to assist clinicians in decision-making and diagnosis, especially in units dependent on up-to-date guidelines such as rheumatology. This study aims to evaluate the effectiveness of ChatGPT in providing clinicians with evidence-based information about ankylosing spondylitis (AS).
Material and Method: Frequently asked questions (FAQs) about AS were developed by reviewing commonly accessed patient-oriented websites, social media platforms, and official hospital pages. Questions were designed based on scientific guidelines, particularly the American College of Rheumatology (ACR) and Assessment of SpondyloArthritis international Society (ASAS)-European League Against Rheumatism (EULAR) axial spondyloarthritis guidelines. ChatGPT's responses were evaluated on a 1-to-4 scale. Each question was posed twice to assess reproducibility, with consistency defined by identical scores across both attempts.
Results: ChatGPT demonstrated an overall accuracy of 81.9% in its responses to 72 FAQs. The highest accuracy (91.7%) was observed in responses related to the prevention of AS. Of the 36 questions based on ACR and ASAS-EULAR guidelines, ChatGPT provided accurate answers for 22 (61.1%), with three responses receiving the lowest grade (4). Reproducibility of ChatGPT's responses was 88.8% across all FAQs and 83.3% for guideline-specific questions.
Conclusion: This study highlights the potential of ChatGPT as a supportive tool for patient education and clinician reference, particularly for general FAQs. However, accuracy for questions derived from ACR and ASAS-EULAR guidelines was lower (61.1%), emphasizing the need for clinician oversight.
Artificial intelligence ankylosing spondylitis ChatGPT guideline
Ethics committee approval was not required as patient data was not used in the present study.
Birincil Dil | İngilizce |
---|---|
Konular | Romatoloji ve Artrit, Fiziksel Tıp ve Rehabilitasyon |
Bölüm | Özgün Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 9 Mayıs 2025 |
Gönderilme Tarihi | 17 Ocak 2025 |
Kabul Tarihi | 26 Şubat 2025 |
Yayımlandığı Sayı | Yıl 2025 Cilt: 7 Sayı: 2 |
Chief Editors
Assoc. Prof. Zülal Öner
Address: İzmir Bakırçay University, Department of Anatomy, İzmir, Turkey
Assoc. Prof. Deniz Şenol
Address: Düzce University, Department of Anatomy, Düzce, Turkey
Editors
Assoc. Prof. Serkan Öner
İzmir Bakırçay University, Department of Radiology, İzmir, Türkiye
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