Smartwatch AI could spot diabetes clues without needles

NCT ID NCT05482958

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

Summary

This completed study tested whether a smartwatch, combined with artificial intelligence, could identify digital signs of type 2 diabetes. Researchers gave 210 adults a multisensor watch to track heart rate and other vitals, then analyzed the data with machine learning. The goal was to find patterns linked to diabetes and blood sugar control, potentially leading to simpler, non-invasive monitoring.

What this could mean

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

Active substance

HOP watch (multisensor smartwatch)

What this could lead to

If successful, this could lead to a non-invasive way to monitor diabetes using a smartwatch, helping doctors and patients manage the condition more easily.

What could go wrong

This was a small, completed study focused on finding patterns, not testing a treatment. The results may not apply to all patients or lead to a practical tool.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

type 2 diabetes mellitus

As listed by the trial registrant

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

Contacts and locations

Locations

  • McGill University health Center

    Montreal, Quebec, H4A 3J1, Canada