AI matches doctors in spotting early vein disease
NCT ID NCT05978986
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether an AI app (IVENUS) could correctly classify the severity of chronic vein disease from leg photos. Over 1,600 patients had their legs photographed, and the app's diagnosis was compared to that of experienced doctors. The goal was to see if the app could reliably identify early-stage vein problems (C0-C2) as a potential screening tool.
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Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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1,622 people
The number who actually took part.
- Started
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Aug 2023
- Finished
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Feb 2026
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * C0-C2 CEAP clinical class; * Signed consent to take part in investigation. Exclusion Criteria: * C3-C6 CEAP clinical class; * Skin diseases of the lower extremities; * Immobilization.
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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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Azbuka zdoroviya ltd.
Yekaterinburg, Russia
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Phlebolog ltd.
Perm, Russia
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Vasculab ltd.
Yekaterinburg, Russia
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