Smart sensors and AI aim to spot pregnancy diabetes sooner
NCT ID NCT07276945
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study will enroll 300 pregnant women to see if continuous glucose monitors (CGMs) and AI tools can diagnose gestational diabetes earlier and more accurately than current methods. Researchers will also look at how CGM data relates to health outcomes for mothers and babies. The goal is to create a smarter, personalized system for managing this common pregnancy complication.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to earlier and easier diagnosis of gestational diabetes, potentially improving health outcomes for mothers and babies.
- What could go wrong
- This is an observational study without a treatment, so it won't directly cure or control the condition. The AI tools and new criteria need validation and may not work for everyone.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for GESTATIONAL DIABETES are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Wearable sensor may replace the dreaded glucose drink test for gestational diabetes
- Wearable tech could stop Post-Pregnancy diabetes in its tracks
- Could oxidative stress be the hidden culprit behind blood vessel damage after gestational diabetes?
- Blood vessel damage after gestational diabetes: is a rogue enzyme to blame?
- A simple nudge after childbirth could transform lifelong health for moms with chronic conditions
- Can laughter yoga ease stress in gestational diabetes?