Viewing Study NCT06582719



Ignite Creation Date: 2024-10-26 @ 3:39 PM
Last Modification Date: 2024-10-26 @ 3:39 PM
Study NCT ID: NCT06582719
Status: NOT_YET_RECRUITING
Last Update Posted: None
First Post: 2024-08-30

Brief Title: Evaluating the Efficacy of GPT-based Nutrition and Diabetic Counseling in Gestational Diabetes Management A Randomized Controlled Trial AIM-GDM
Sponsor: None
Organization: None

Study Overview

Official Title: Evaluating the Efficacy of GPT-based Nutrition and Diabetic Counseling in Gestational Diabetes Management A Randomized Controlled Trial AIM-GDM
Status: NOT_YET_RECRUITING
Status Verified Date: 2024-08
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: No
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: AIM-GDM
Brief Summary: The purpose of this study is to assess whether an AI based counseling service can be beneficial for patients to assist in management of gestational diabetes
Detailed Description: Gestational diabetes mellitus GDM affects approximately 6-9 of pregnancies globally posing significant risks to both maternal and neonatal health Standard management includes dietary counseling glucose monitoring and insulin therapy when necessary However the rising prevalence of GDM and limited healthcare resources necessitate innovative solutions to supplement traditional care Generative Pre-trained Transformers GPTs a type of large language model LLM offer personalized real-time counseling and support Recent advancements in AI have shown promise in various healthcare applications but the efficacy of GPT-based counseling in GDM management remains underexplored This study builds on preliminary evidence suggesting that AI can enhance patient engagement and outcomes aiming to validate these findings in a controlled trial

The integration of AI specifically GPTs into healthcare can revolutionize patient management by providing continuous tailored support This study aims to evaluate whether GPT-based counseling can improve glycemic control and patient satisfaction in GDM management compared to traditional counseling alone By placing AI within the context of prenatal care this research seeks to address gaps in current GDM management practices and offer scalable personalized solutions

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None