ArticleArchives of gynecology and obstetrics2024
Can Chat-GPT read and understand guidelines? An example using the S2k guideline intrauterine growth restriction of the German Society for Gynecology and Obstetrics.
Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.Archives of gynecology and obstetrics · 2026Article
- Leveraging artificial intelligence for evidence-based recommendations in uterine fibroid therapy: Addressing the unmet need in German healthcare-A clinical trial.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- A comparative evaluation of publicly available large language models in the assessment of CTG traces according to the FIGO criteria.Archives of gynecology and obstetrics · 2025Article
- The PERFORM Study: Artificial Intelligence Versus Human Residents in Cross-Sectional Obstetrics-Gynecology Scenarios Across Languages and Time Constraints.Mayo Clinic proceedings. Digital health · 2025Article
- ChatGPT use in daily obstetrics and gynecology practice: clarification and recommendations.Archives of gynecology and obstetrics · 2024Article
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Authors and funding
6 authors.
Funding
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Abstract
purposeTo investigate the capacity of chat-generative pre-trained transformer (Chat-GPT) to understand the S2k guideline of the German Society for Gynecology and Obstetrics on intrauterine growth restriction.
methodsThe German-language free Chat-GPT version was used to test the ability of Chat-GPT to understand the definition of small for gestational age and intrauterine growth restriction, to indicate the correct time and place of delivery and to evaluate ist ability to recommend a spontaneous delivery versus a primary caesarean section in accordance with the guideline recommendations. In order to objectively evaluate the suggestions a simple three-color 'traffic light' evaluation system was employed.
resultsAlmost all Chat-GPT's suggestions in the context of definition of small for gestational age/intrauterine growth restriction as well as correct time of delivery were adequate, whereas more than half of the suggestions made in terms of correct delivery mode needed reformulation or even correction.
conclusionChat-GPT appears to be a valuable form of artificial intelligence that could be integrated into everyday clinical practice.
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