Real-World Evaluation of AI Enabled Multi-Spectral Imaging (MSI) at Point-of-Care to Identify and Quantify Biomarkers of Non-Exudative Age-Related Macular Degeneration
Real-World Evaluation of AI Enabled Multi-Spectral Imaging (MSI) at Point-of-Care to Identify and Quantify Biomarkers of Non-Exudative Age-Related Macular Degeneration
The goal of this observational clinical study is to learn if DeepMSI AI detects age-related macular degeneration (AMD) biomarkers with sensitivity and specificity equivalent to experienced clinicians in adults over 40 years old. The main questions it aims to answer are:
Researchers will compare retina image analysis from DeepMSI AI with ground truth (clinicians' interpretations) to see if AI achieves equivalency in sensitivity and specificity.
Inclusion Criteria: AMD subjects:
Healthy subjects:
Exclusion Criteria:
Assessed prior to any considerations of inclusion:
angela.f@deepmsi.com16135816702
EmilyZ@deepmsi.com