We 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 us understand the consistency and reliability of the FaceAge algorithm and allow us to make improvements.
Inclusion Criteria:
Exclusion Criteria:
bwhfaceage@mgb.org(617) 632-5734
Individuals that are not currently/have never received care at any MGB affiliated institutions.
Automatic Phenotyping of Patients on 2D Photography
Facial Asymmetrical Clinical Evaluation Study
Evaluation of Age-Related Skin Changes
AI Facial Analysis Algorithm to Screening Coronary Artery Disease in High-Risk Community Population
Evaluation of Age-related Skin Changes and Instrument Reliability Using Clinical Probe Measurements and Imaging Modalities
AI-Driven Prediction of Biological Age With EHR
LensAge to Reveal Biological Age
Computer-based Skin Aging Simulation for Skin Cancer Prevention