Development and Multicenter Validation of an AI-Based Remote Photoplethysmography (rPPG) Facial Scan for Multimodal Health Assessment

The goal of this observational study is to learn if a non-contact facial scan using artificial intelligence (AI) can be used to check health status in adults living in urban areas such as Jakarta. The facial scan uses a method called remote photoplethysmography (rPPG), which measures small changes in blood flow from the face using a camera. The main questions this study aims to answer are: 1. How close are the results from the facial scan to standard medical measurements, such as heart rate, breathing rate, blood pressure, and oxygen levels? 2. Can the facial scan estimate other health indicators, such as blood sugar, lipid profile, HbA1c, and hemoglobin levels? 3. Is there a relationship between the facial scan results and mental health, such as stress, anxiety, and depression? Participants will take part in several simple and mostly non-invasive procedures: 1. Answer questionnaires about their mental health and daily habits 2. Have basic health checks, such as blood pressure, heart rate, and body measurements 3. Provide a blood sample for laboratory testing 4. Complete a facial scan using a camera for about 1 to 3 minutes Researchers will compare the results from the facial scan with standard clinical and laboratory tests to see how well the technology works. This study may help develop a simple and accessible screening tool that can be used for early detection of health risks. It may also support the use of digital health and telemedicine in community and clinical settings.

NCT Number	NCT07491978
Lead Sponsor	Tarumanagara University
Conditions	Metabolic Syndrome, Hypertension, Diabetes (DM), Tachycardia, ASCVD, Depression Disorder, Anxiety, Stress (Psychology) +5 more
Enrollment	1,000 participants
Start Date	2026-04-24
Primary Completion	2026-12-31 (estimated)
Study Completion	2027-03-30 (estimated)
Updated on ClinicalTrials.gov	2026-04-20