Back to search

Article

Can Artificial Intelligence Counsel Expectant Mothers? Expert Evaluation of ChatGPT’s Educational Performance in Gestational Diabetes Mellitus

2025-12-03

Abstract excerpt

<title>Abstract</title> <p>Background: Gestational diabetes mellitus (GDM) is an increasingly common pregnancy complication associated with adverse maternal–fetal outcomes and long-term risk of type 2 diabetes. Artificial intelligence (AI) tools such as ChatGPT have emerged as potential instruments for patient education, yet their reliability and safety in obstetric counseling remain underexplored. This study aim...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
aa136386-9469-5844-8696-b3bd01477ed7
DOI
10.21203/rs.3.rs-7983164/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Can Artificial Intelligence Counsel Expectant Mothers? Expert Evaluation of ChatGPT’s Educational Performance in Gestational Diabetes MellitusDOI 10.21203/rs.3.rs-7983164/v1
Artificial Intelligence in Obstetrics: Evaluating ChatGPT and Google Gemini in Answering Patient QuestionsSemantic proximity
AI decision-making performance in Maternal-Fetal Medicine compared with human specialists: a cross-sectional studySemantic proximity
Can Chat-GPT read and understand guidelines? - An example using the S2k guideline Intrauterine Growth Restriction of the German Society for Gynecology and ObstetricsSemantic proximity
Applying King's Theory of Goal Attainment combined with FMEA-PDCA quality management tool in Gestational Diabetes Mellitus health education: A randomized controlled trialSemantic proximity
Adaptive Agentic AI-Driven Women's Digital Twin for Personalized High-Risk Pregnancy Prediction and Clinical Decision SupportSemantic proximity
An analysis of AI platforms: Can AI provide genetics education?Semantic proximity
Evaluation of ChatGPT-5 Responses in Obstetric and Gynecological Emergencies: Concordance, Readability, and Clinical ReliabilitySemantic proximity
Artificial Intelligence in Dietary Recommendations for Type 1 Diabetes: Evaluating the Performance of ChatGPT-4o, Bing AI, and Bard AISemantic proximity
When Artificial İntelligence Speaks For The Obstetrician: Multilingual Accuracy On Real Patient QuestionsSemantic proximity
Quality and Readability of Artificial Intelligence Chatbot Responses to Patient Questions About Exocrine Pancreatic Insufficiency: A Comparative StudySemantic proximity
Exploring the Role of ChatGPT-4, BingAI, and Gemini as Virtual Consultants to Educate Families about Retinopathy of PrematuritySemantic proximity
Comparison of Indications for Hysterectomy in Our Clinic With Recommendations of the Artificial Intelligence ProgramSemantic proximity
Select a neighboring publication to make it the new centre.