Smartwatches and AI could predict diabetes complications in new study

NCT ID NCT07129148

Recruiting now Knowledge-focused Sponsor: Second Xiangya Hospital of Central South University Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether wearable devices like continuous glucose monitors and smart bracelets, combined with smartphone apps, can help predict and prevent complications in people with type 2 diabetes. Researchers will enroll 6,000 adults and follow them for 3 months, using AI to analyze data from the wearables. The goal is to see if this technology can improve blood sugar control and reduce the risk of diabetes-related health problems.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Wearable devices (CGM, smart bracelet) and smartphone mini-programs
What this could lead to: If successful, this could show that AI and wearable tech help predict and reduce diabetes complications, leading to better remote management tools.
What could go wrong: This is an early-stage observational study without a control group, so results may not prove cause and effect. The 3-month follow-up is short for seeing long-term benefits.

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Conditions

The condition(s) this trial relates to.

Diabetes Complications type 2 diabetes mellitus

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

DIABETES MELLITUS COMPLICATIONS DIABETES MELLITUS, TYPE 2

Contacts and locations

Locations

Second Xiangya Hospital of Central South University
RECRUITING

Changsha, China

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