AI model aims to predict diabetes foot ulcers before they start
NCT ID NCT07307183
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study aims to create a prediction model using artificial intelligence and statistics to identify which people with diabetes are at risk of developing foot ulcers. Researchers will analyze health records and demographic data from 100,000 adults in Sweden. The goal is to improve early prevention and reduce serious complications like infections and amputations.
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 a reliable tool that helps doctors identify diabetes patients at high risk for foot ulcers early, enabling preventive care.
- What could go wrong
- This is an observational study using existing data, not a treatment trial. The models may not work perfectly in all populations or settings.
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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.
Contacts and locations
Locations
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Region Västra Götaland
RECRUITINGJonsered, 43375, Sweden
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