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.
Disclaimer
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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.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Region Västra Götaland
RECRUITINGJonsered, 43375, Sweden
Contact Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••