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Efficiency of Determining the Clinical Class of Chronic Venous Disorders by Artificial Intelligence — IVENUS  

Varicose Veins of Lower Limb Clinical Trial

Official title:
Efficiency of Determining the Clinical Class of Chronic Venous Disorders by Artificial Intelligence (IVENUS App)

Clinical Trial Summary

Purpose: To evaluate the sensitivity and specificity of the method for determining the clinical class of chronic venous diseases using the Ivenus application (within C0-C2 according to CEAP). Materials and methods: Patients who applied to several phlebology clinics for an initial consultation are consistently included in a multicenter prospective study. At the appointment, a doctor with at least 5 years of experience takes photographs of the lower extremities and uploads them to the IVENUS application, which automatically determines the clinical class according to CEAP, without showing the results to the surgeon (blinding). Further, the doctor independently determines the clinical class according to CEAP and enters the data into the register. The object of the study is a photograph of a certain area of the lower limb.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05978986
Study type Interventional
Source Clinic of Phlebology and Laser Surgery, Chelyabinsk, Russia
Contact Denis Borsuk
Phone +79630777333
Email borsuk-angio@mail.ru
Status Recruiting
Phase N/A
Start date August 25, 2023
Completion date August 15, 2024
View Details
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