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ARTIFICIAL INTELLIGENCE SUPPORTED DIGITAL COUNSELING IN PREGNANCY: EVALUATING CHATGPT S PERFORMANCE ACROSS 40 SCENARIOS   
Yazarlar (2)
Dr. Öğr. Üyesi Aybüke TAYARER Dr. Öğr. Üyesi Aybüke TAYARER
Kırşehir Ahi Evran Üniversitesi Tıp Fakültesi, Türkiye
Kadir Kangal
Kırşehir Ahi Evran Üniversitesi, Türkiye
Devamını Göster
Özet
Introduction In recent years, language models supported by artificial intelligence have been increasingly utilized in healthcare counseling. This study aims to evaluate the reliability and clinical safety of ChatGPT-3.5 by assessing the medical accuracy, content completeness, and communication quality of its responses to pregnancy-related patient scenarios through expert review. Methods Forty clinical scenarios reflecting common pregnancy concerns across all trimesters were developed. These were entered into ChatGPT-3.5, and its responses were independently evaluated by two obstetricians using an 8-item, 5-point Likert scale assessing medical accuracy, misinformation, missing information, urgency perception, referral appropriateness, home care suggestions, harmful recommendations, and language quality. A Global Quality Score (GQS) from 1 to 5 was also assigned. Internal consistency was analyzed using Cronbach's alpha, and inter-rater agreement for GQS was evaluated via Cohen's Kappa after categorization into low, moderate, and high-quality groups. Results ChatGPT's responses demonstrated high internal consistency across evaluation domains (Cronbach's alpha = 0.872). Cohen's Kappa for GQS agreement was 0.15, indicating slight agreement. No misinformation or harmful suggestions were identified. Most responses were medically appropriate, although some contained minor informational gaps. In 90% of the scenarios, evaluators placed responses in the same GQS category. Conclusion ChatGPT-3.5 shows promise as a supportive digital tool for pregnancy-related counseling. However, it is not fully aligned with current ...
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale
Dergi Adı Eskisehir Medical Journal, Eskisehir City Hospital
Dergi Tarandığı Indeksler
Makale Dili İngilizce
Basım Tarihi 01-2026
Cilt No 7
Sayı 1
Sayfalar 12 / 17
DOI Numarası 10.48176/esmj.2025.228
Makale Linki https://doi.org/10.48176/esmj.2025.228