Objective:

To validate VisionMetric Suite, an AI-based automated periocular measurement tool, and compare its performance with manual methods.

Approach:

Key Findings:

• VisionMetric Suite achieved a recognition rate of 94.7%.
• Average processing time was 2.8 ± 0.4 seconds per image.
• User satisfaction among 10 physicians averaged 4.3/5.0.
• Agreement between automated and manual measurements showed a mean ICC of 0.94 (95% CI: 0.91–0.97).
• Repeatability of AI measurements showed a mean ICC of 0.96 (95% CI: 0.92–0.98).

Interpretation:

The preliminary validation suggests that VisionMetric Suite can serve as a rapid, objective periocular measurement tool with good agreement compared to manual methods.

Limitations:

• The study is a preliminary single-center validation.
• Further validation in diverse clinical settings is needed.

Conclusion:

VisionMetric Suite represents an initial step toward automated assessment in ophthalmic plastic surgery.

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