Evaluation of ChatGPT-5 responses in obstetric and gynecological emergencies: concordance, readability, and clinical reliability
ChatGPT-5 generally produced moderate to good guideline-compliant and confident responses in obstetric and gynecological emergency scenarios. However, its performance was limited in complex cases requiring a multidisciplinary approach. The findings suggest that AI-powered large language models can be a complementary tool in obstetric emergency management, but should not be used alone without expert clinician supervision. Larger, comparative, and multidisciplinary studies will provide more reliable evidence for the clinical integration of these technologies.
Authors
- Hale Çetin Arslan (ORCID: https://orcid.org/0000-0002-5392-2434)
- Mehmet Gün (ORCID: https://orcid.org/0000-0003-3466-6014)
- Pakize Özge Karkın (ORCID: https://orcid.org/0000-0003-3296-8887)
- Kadir Arslan (ORCID: https://orcid.org/0000-0003-4061-0746)
- Tuğçe Arslanoğlu (ORCID: https://orcid.org/0000-0003-1755-1274)
Institutions
- Ministry of Health (TR)
- Sivas State Hospital (TR)
- Sağlık Bilimleri Üniversitesi (TR)
- İstanbul Kanuni Sultan Süleyman Eğitim ve Araştırma Hastanesi (TR)
Publication Details
- Journal
- BMC Emergency Medicine
- Published
- 2025-10-30
- DOI
- https://doi.org/10.1186/s12873-025-01396-5
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65