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.

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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
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article

Evaluation of ChatGPT-5 responses in obstetric and gynecological emergencies: concordance, readability, and clinical reliability

Hale Çetin Arslan, Mehmet Gün, Pakize Özge Karkın, Kadir Arslan et al.
1 citations
BMC Emergency Medicine
Artificial Intelligence in Healthcare and Education
0.65
article

Evaluation of ChatGPT-5 responses in obstetric and gynecological emergencies: concordance, readability, and clinical reliability

Hale Çetin Arslan, Mehmet Gün, Pakize Özge Karkın, Kadir Arslan, Tuğçe Arslanoğlu
article en
1 citations

Abstract

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.

BMC Emergency MedicineVol. 25(1)
Ministry of Health (TR), Sivas State Hospital (TR), Sağlık Bilimleri Üniversitesi (TR), İstanbul Kanuni Sultan Süleyman Eğitim ve Araştırma Hastanesi (TR)
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
0.65
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