Objective:
To evaluate the accuracy of an AI-based algorithm in home OCT monitoring for neovascular age-related macular degeneration (AMD) over a longitudinal study.
Key Findings:
- The AI algorithm demonstrated a sensitivity of 99.1% and specificity of 89.4% when personalized detection thresholds were set.
- This is the first longitudinal study validating AI-based home OCT technology against human expert assessments.
- High agreement was observed between AI detections and expert graders regarding hyporeflective spaces in near-daily scans.
Interpretation:
The study supports the potential of AI-based home OCT technology to enhance monitoring and management of neovascular AMD, indicating a promising future for patient care.
Limitations:
Conclusion:
The findings highlight the effectiveness of AI in home OCT monitoring, suggesting it could significantly improve patient outcomes in neovascular AMD.
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