Plain-English translation of NCT07307183 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study aims to create an artificial intelligence tool that can predict which patients with diabetes are most likely to develop foot ulcers. Researchers will analyze medical records and health information from thousands of people with diabetes to train the model. The goal is to catch high-risk patients early so they can get preventive care before an ulcer develops.
Foot ulcers are a serious complication of diabetes that can lead to infection, hospitalization, and amputation. If doctors could identify patients at highest risk before an ulcer forms, they could provide earlier treatment and prevent these serious outcomes.
You likely qualify if…
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This is a registry-based study, meaning researchers will access your existing medical records and health data from your healthcare provider — you won't need to attend visits or take any new medication. The study uses data already collected in the electronic health record system, along with information linked from national statistics. Researchers will analyze this information to develop and test the prediction tool.
AI-generated summary from trial data · Jul 4, 2026 · Not medical advice
Sweden
Enrollment target
~100,000 participants
Started
January 2014
Primary completion
December 2027
Age range
18 Years and older
Last updated on clinicaltrials.gov in December 2025.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Ulla Hellstrand Tang, Associate Professor
The Department of Prosthetics & Orthotics at the Department for Biomedical Engineering and Medical Physics at Sahlgrenska University Hospital, Gothenburg, Sweden
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.