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

ABSTRACT:

Background

This study aimed to evaluate the compliance with guidelines, clinical safety, and applicability of ChatGPT-5 responses in obstetric and gynecological emergency scenarios. With the increasing role of AI-powered large language models (LLMs) in healthcare, there is a need to examine their performance in obstetric emergencies systematically.

Methods

This study was designed as a prospective, scenario-based, double-blind study. A total of 15 obstetric and gynecologic emergency scenarios were created based on the literature and current international guidelines (ACOG, RCOG, WHO). Five standard questions were posed to ChatGPT-5 for each scenario: (1) Most likely diagnosis, (2) Investigations to confirm the diagnosis, (3) Hemodynamic stability assessment, (4) Initial treatm

SUBMITTER: Arslan HC 

PROVIDER: S-EPMC12574122 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature