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Dergiler / Kafkas Journal of Medical Sciences / 2026 / Cilt: 16 Sayı: 2

Assessment and Cross-Language Comparison of ChatGPT’s Responses to Frequently Asked Questions by Pregnant Women: A Multilingual Prospective Observational Study

Enes Serhat Coşkun(Department of Obstetrics and Gynecology, Biruni University Faculty of Medicine Hospital)
Ali Selçuk Yeniocak(Department of Obstetrics and Gynecology, Basaksehir Cam And Sakura City Hospital)
Havva Betül Bacak(Department of Obstetrics and Gynecology, Gaziosmanpasa Training and Research Hospital, Istanbul)
Erkan Aslan(Department of Obstetrics and Gynecology, Buyuk Anadolu Meydan Hospital, Samsun, Türkiye)
Fatma Ketenci Gencer(Department of Obstetrics and Gynecology, Gaziosmanpasa Training and Research Hospital, Istanbul)
Süleyman Salman(Department of Obstetrics and Gynecology, Gaziosmanpasa Training and Research Hospital, Istanbul)
Sayfa
188–195
Yayın Tarihi
2026-08-06
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Future research should include a broader range of questions and additional languages to enhance the reliability and clinical applicability of this technology.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Aim: The objective of this study was to evaluate the efficacy of ChatGPT in providing pregnancy-related health information in English, Turkish, and Arabic, with a focus on medical accuracy, empathetic communication, clarity, and appropriateness of referral to obstetricians.
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Temel Bulgular & Veri:Responses generated by ChatGPT in English, Turkish, and Arabic were independently assessed by four experienced obstetricians.
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Sonuç & Katkı:Future research should include a broader range of questions and additional languages to enhance the reliability and clinical applicability of this technology.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Artificial intelligence · Artificial Neural Networks · ChatGPT

Abstract

Aim: The objective of this study was to evaluate the efficacy of ChatGPT in providing pregnancy-related health information in English, Turkish, and Arabic, with a focus on medical accuracy, empathetic communication, clarity, and appropriateness of referral to obstetricians. This research aims to address concerns regarding the variability of response accuracy and quality across different languages. Methods: A prospective observational study was conducted within the Department of Obstetrics and Gynecology. Fifteen commonly asked pregnancy-related questions were translated into Turkish and Arabic by certified translators to ensure linguistic accuracy. Responses generated by ChatGPT in English, Turkish, and Arabic were independently assessed by four experienced obstetricians. Evaluation criteria included medical accuracy, empathetic tone, clarity, and appropriateness of referral. Statistical analysis was performed using chi-square tests, with statistical significance defined as p < 0.05. Results: Statistically significant differences were identified across languages in terms of medical accuracy (p = 0.0012), empathetic tone (p < 0.001), and clarity (p < 0.001). Responses provided in English were rated as “excellent” in 73.3% of cases, compared to 40% in Turkish and 41.6% in Arabic. Overall, more than 80% of all responses were rated as either “good” or “excellent.” No significant difference was observed concerning the appropriateness of referral recommendations (p = 0.0885). Conclusions: ChatGPT demonstrates potential as a reliable tool for addressing pregnancy-related health inquiries. However, discrepancies in response accuracy and clarity across languages highlight the need for improved language support, particularly for underrepresented languages. Future research should include a broader range of questions and additional languages to enhance the reliability and clinical applicability of this technology.

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Bu Makaleye Atıf Yap

Coşkun, E. S., Yeniocak, A. S., Bacak, H. B., Aslan, E., Gencer, F. K., Salman, S. (2026). Assessment and Cross-Language Comparison of ChatGPT’s Responses to Frequently Asked Questions by Pregnant Women: A Multilingual Prospective Observational Study. Kafkas Journal of Medical Sciences, Cilt: 16 Sayı: 2, 188–195. https://ajindex.com/articles/1631469

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