Training of a Artificial Intelligence Model to Detect Venous Diseases Using PPG Technology

Launched by THE WHITELEY CLINIC · May 28, 2024

Keywords

ClinConnect Summary

This clinical trial is studying how well a new technology called Photoplethysmography (PPG) combined with Artificial Intelligence (AI) can help detect and diagnose venous diseases in the lower leg. Venous diseases can cause problems like swelling and pain in the legs, and this study aims to improve how these conditions are identified. Participants will be divided into two groups: one group consists of healthy individuals, while the other includes those already diagnosed with chronic venous disease.

To qualify for the study, participants must be at least 18 years old and able to walk normally. They should have healthy skin on their lower legs where the PPG device will be attached. If someone is pregnant, has severe leg problems, or cannot give consent, they won't be able to participate. During the trial, participants will perform some simple exercises while wearing a device that measures changes in blood flow. The data collected will help researchers train the AI to recognize patterns related to venous disease, potentially leading to better diagnosis and treatment options in the future.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Patients are attending for investigation of suspected venous disease. Patients must be able to walk and mobile normally and have good skin integrity of the lower leg, where the PPG is attached.
• • All patients attending TWC are 18 years or older.
• Exclusion Criteria:
• • Subjects with known arterial occlusive disease or physical disability affecting gait or ankle movement will be excluded.
• • Patients unable to have a PPG attached to the lower leg (ie: active ulceration) will be excluded.
• • Patients unable to give consent. Pregnant female.