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

Summary

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: * Does DeepMSI AI detect AMD biomarkers with sensitivity equivalent to experienced clinicians? * Does DeepMSI AI detect AMD biomarkers with specificity equivalent to experienced clinicians? Participants' eyes will be imaged by MSI-120 and their images will be analyzed for AMD biomarkers by both DeepMSI AI and retina specialists independently. Researchers will compare retina image analysis from DeepMSI AI with ground truth (clinicians' interpretations) to see if AI achieves equivalency in sensitivity and specificity.

Eligibility

Age range

40+ years

Sex

All

Healthy volunteers

Yes

Interventions

• Device
  Retina imaging device (MSI-120) and AI (DeepMSI AI)

  This is single-arm intervention where device use (acquiring retina images with MSI-120 device and analyzing retinal images with the DeepMSI AI) is the primary intervention to assess performance. To eliminate any potential risk to patients, AI outputs from this study will not be disclosed to treating clinicians or participants during the study period.

Location