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

Launched by CLINIC OF PHLEBOLOGY AND LASER SURGERY, CHELYABINSK, RUSSIA · Jul 30, 2023

Keywords

ClinConnect Summary

This clinical trial is exploring how well an artificial intelligence app, called Ivenus, can help doctors determine the clinical class of chronic venous disorders, specifically focusing on conditions like varicose veins and telangiectasia. The trial aims to see if this app can accurately classify these conditions based on photos of patients' legs that are taken during their visit to a phlebology clinic. The doctor will take pictures of the lower limbs and upload them to the app, which will analyze the images without revealing the results to the doctor initially. Then, the doctor will independently assess the condition and record their findings.

To participate in this study, patients should be between the CEAP clinical classes C0 to C2, which generally means they have mild symptoms of chronic venous issues. Participants will need to give their consent and will not be eligible if they have more severe symptoms (C3 to C6), any skin diseases affecting their legs, or if they are unable to move. This trial is currently recruiting patients of all ages and genders, providing a chance for individuals with early signs of chronic venous disorders to contribute to important research in this area.

Gender

ALL

Eligibility criteria

• 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.