Artificial Intelligence-Based Health Assessment From Face Photographs - Healthy Volunteer Study
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorBrigham and Women's Hospital
About this trial
The investigators aim to examine how FaceAge estimates (a measure of biological age based on facial features) change across different time points and identify factors that may influence these changes. This will help the investigators understand the consistency and reliability of the FaceAge algorithm and allow them to make improvements.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
The protocol enrolls healthy volunteers from the adult (age 18 and above) general population. All races and genders will be included.
Disqualifiers
Any skin condition or recent facial injury that could affect facial appearance.
Inability to follow study instructions or provide informed consent.
Taking new or strong medication on the day of image capture could potentially affect appearance or alertness.
Trial population
Any healthy individual that has not/has never received care from any MGB affiliated institution.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Not listed
Trial groups
10,000 Participants
are grouped into 1 trial groupGroup A: Healthy volunteers
Trial outcomes
Primary outcomes
1
FaceAge estimate(s)
AI-generated FaceAge predictions for each photograph.
Time frame
Up to three years from the date of enrollment.2
Changes in FaceAge estimates
For those with more than one FaceAge estimate, we will evaluate the consistency of FaceAge estimates between photographs taken at different time intervals.
Time frame
Up to three years from the date of enrollment.Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov